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node-cephes\n\n\n\nThis is a WebAssembly packaging of the [cephes library](http://www.netlib.org/cephes/).\nThe cephes library contains C implementations of most\n[special functions](https://en.wikipedia.org/wiki/Special_functions),\n[distributions](https://en.wikipedia.org/wiki/Probability_distribution),\nand other hard-to-implement mathematical functions.\n\n## Install\n\n```shell\nnpm install cephes\n```\n\nIf you are looking on GitHub, you will notice some files are missing. These\nare statically built from the cephes library. See the\n[CONTRIBUTING.md](CONTRIBUTING.md) file, for how to build them.\n\n## Usage\n\nCephes is a WebAssembly module but is very small and fast to compile, as it\ndoesn't depend on any runtime libraries. In Node.js it is therefore compiled\nsynchronously and all you need to do is require the module.\n\n```js\nconst cephes = require('cephes'); // Node.js\n```\n\nIn the browser, it is, for good practice, compiled asynchronously. You must\ntherefore wait for the `.compiled` promise to be resolved.\n\n```js\nconst cephes = require('cephes'); // Browser\nawait cephes.compiled;\n```\n\nNote that the `.compiled` promise is also available in Node.js, but it is\nsimply a dummy promise that resolves immediately.\n\n### The JavaScript interface\n\nThere are three variations of functions to be aware of:\n\n#### 1. Plain numeric function\n\nThese don't require anything special.\n\n```js\nconst value = cephes.zeta(2, 1);\n```\n\n#### 2. Functions that return more than one value\n\nIn C, these functions return a primary value and then return extra value\nusing pointer arguments. In JavaScript this is implemented as a function\nthat returns an array of length 2. The first element is the primary returned\nvalue, the second is an object of the extra returned values.\n\n```js\nconst [value, {ai, aip, bi, bip}] = cephes.airy(-1);\n```\n\n#### 3. Functions that consumes an array\n\nSome functions consumes an array of values, these must be `TypedArrays` of\nthe appropriate type. These functions will typically also require a variation\nof `.length` value as a parameter, like you would do in C. Be aware, that in\nsome cases it may not be exactly the `.length` of the `TypedArray`, but may be\none less or one more. Check the specific function documentation to be sure.\n\n```js\nconst arrayInput = new Float64Array([2.2, 3.3, 4.4]);\nconst value = cephes.polevl(1.1, arrayInput, arrayInput.length - 1);\n```\n\n#### 4. Functions that use Complex numbers\n\nSome functions use complex numbers. We have a convenience method in cephes (`createComplex`), which takes a real and imaginary part. Note most of the complex functions store the value in one of the arguments. For convenience, the last argument is returned by the function.\n\nHere is an example with `csin`.\n\n```js\n// Create the resulting complex\nconst w = cephes.createComplex();\n// Run the function\ncephes.csin(cephes.createComplex(0.5, 0.5), w);\n\n// Output update of value to console\nconsole.log(w.toString()); // Expect 0.5406126857131534 + 0.4573041531842493i\n\n```\n\n## Table of Content\n\n\n\n \n \n \n\n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n\n\n\n
FunctionDescriptionDocumentation
Arithmetic and Algebraic
signbit(x)Returns the sign bitc-doc  •  js-doc
csinh(z, w)Complex hyperbolic sinec-doc  •  js-doc
casinh(z, w)Complex inverse hyperbolic sinec-doc  •  js-doc
ccosh(z, w)Complex hyperbolic cosinec-doc  •  js-doc
cacosh(z, w)Complex inverse hyperbolic cosinec-doc  •  js-doc
ctanh(z, w)Complex hyperbolic tangentc-doc  •  js-doc
catanh(z, w)Complex inverse hyperbolic tangentc-doc  •  js-doc
cpow(a, z, w)Complex power functionc-doc  •  js-doc
cneg(a)Complex negativec-doc  •  js-doc
isnan(x)Check if Not-A-Numberc-doc  •  js-doc
isfinite(x)Check if finitec-doc  •  js-doc
sqrt(x)Square rootc-doc  •  js-doc
cbrt(x)Cube rootc-doc  •  js-doc
polevl(x, coef, N)Evaluate polynomialc-doc  •  js-doc
chbevl(x, array, n)Evaluate Chebyshev seriesc-doc  •  js-doc
round(x)Round to nearest integer valuec-doc  •  js-doc
ceil(x)Truncate upward to integerc-doc  •  js-doc
floor(x)Truncate downward to integerc-doc  •  js-doc
frexp(x)Extract exponentc-doc  •  js-doc
ldexp(x, pw2)Add integer to exponentc-doc  •  js-doc
fabs(x)Absolute valuec-doc  •  js-doc
Exponential and Trigonometric
expx2(x, sign)Exponential of squared argumentc-doc  •  js-doc
radian(d, m, s)Degrees, minutes, seconds to radiansc-doc  •  js-doc
sincos(x, flg)Circular sine and cosine of argument in degreesc-doc  •  js-doc
cot(x)Circular cotangentc-doc  •  js-doc
cotdg(x)Circular cotangent of argument in degreesc-doc  •  js-doc
log1p(x)Relative error approximations for log(1 + x)c-doc  •  js-doc
expm1(x)Relative error approximations for exp(x) - 1c-doc  •  js-doc
cosm1(x)Relative error approximations for cos(x) - 1c-doc  •  js-doc
acos(x)Arc cosinec-doc  •  js-doc
acosh(x)Arc hyperbolic cosinec-doc  •  js-doc
asinh(xx)Arc hyperbolic sinec-doc  •  js-doc
atanh(x)Arc hyperbolic tangentc-doc  •  js-doc
asin(x)Arcsinec-doc  •  js-doc
atan(x)Arctangentc-doc  •  js-doc
atan2(y, x)Quadrant correct arctangentc-doc  •  js-doc
cos(x)Cosinec-doc  •  js-doc
cosdg(x)Cosine of arg in degreesc-doc  •  js-doc
exp(x)Exponential, base ec-doc  •  js-doc
exp2(x)Exponential, base 2c-doc  •  js-doc
exp10(x)Exponential, base 10c-doc  •  js-doc
cosh(x)Hyperbolic cosinec-doc  •  js-doc
sinh(x)Hyperbolic sinec-doc  •  js-doc
tanh(x)Hyperbolic tangentc-doc  •  js-doc
log(x)Logarithm, base ec-doc  •  js-doc
log2(x)Logarithm, base 2c-doc  •  js-doc
log10(x)Logarithm, base 10c-doc  •  js-doc
pow(x, y)Powerc-doc  •  js-doc
powi(x, nn)Integer Powerc-doc  •  js-doc
sin(x)Sinec-doc  •  js-doc
sindg(x)Sine of arg in degreesc-doc  •  js-doc
tan(x)Tangentc-doc  •  js-doc
tandg(x)Tangent of arg in degreesc-doc  •  js-doc
Exponential integral
ei(x)Exponential integralc-doc  •  js-doc
expn(n, x)Exponential integralc-doc  •  js-doc
shichi(x)Hyperbolic cosine integralc-doc  •  js-doc
sici(x)Cosine integralc-doc  •  js-doc
Gamma
lbeta(a, b)Natural log of |beta|.c-doc  •  js-doc
beta(a, b)Betac-doc  •  js-doc
fac(i)Factorialc-doc  •  js-doc
gamma(x)Gammac-doc  •  js-doc
lgam(x)Logarithm of gamma functionc-doc  •  js-doc
incbet(aa, bb, xx)Incomplete beta integralc-doc  •  js-doc
incbi(aa, bb, yy0)Inverse beta integralc-doc  •  js-doc
igam(a, x)Incomplete gamma integralc-doc  •  js-doc
igamc(a, x)Complemented gamma integralc-doc  •  js-doc
igami(a, y0)Inverse gamma integralc-doc  •  js-doc
psi(x)Psi (digamma) functionc-doc  •  js-doc
rgamma(x)Reciprocal Gammac-doc  •  js-doc
Error function
erf(x)Error functionc-doc  •  js-doc
erfc(a)Complemented error functionc-doc  •  js-doc
dawsn(xx)Dawson's integralc-doc  •  js-doc
fresnl(xxa)Fresnel integralc-doc  •  js-doc
Bessel
airy(x)Airyc-doc  •  js-doc
j0(x)Bessel, order 0c-doc  •  js-doc
j1(x)Bessel, order 1c-doc  •  js-doc
jn(n, x)Bessel, order nc-doc  •  js-doc
jv(n, x)Bessel, noninteger orderc-doc  •  js-doc
y0(x)Bessel, second kind, order 0c-doc  •  js-doc
y1(x)Bessel, second kind, order 1c-doc  •  js-doc
yn(n, x)Bessel, second kind, order nc-doc  •  js-doc
yv(v, x)Bessel, noninteger orderc-doc  •  js-doc
i0(x)Modified Bessel, order 0c-doc  •  js-doc
i0e(x)Exponentially scaled i0c-doc  •  js-doc
i1(x)Modified Bessel, order 1c-doc  •  js-doc
i1e(x)Exponentially scaled i1c-doc  •  js-doc
iv(v, x)Modified Bessel, nonint. orderc-doc  •  js-doc
k0(x)Mod. Bessel, 3rd kind, order 0c-doc  •  js-doc
k0e(x)Exponentially scaled k0c-doc  •  js-doc
k1(x)Mod. Bessel, 3rd kind, order 1c-doc  •  js-doc
k1e(x)Exponentially scaled k1c-doc  •  js-doc
kn(nn, x)Mod. Bessel, 3rd kind, order nc-doc  •  js-doc
Hypergeometric
hyperg(a, b, x)Confluent hypergeometricc-doc  •  js-doc
hyp2f1(a, b, c, x)Gauss hypergeometric functionc-doc  •  js-doc
Elliptic
ellpe(x)Complete elliptic integralc-doc  •  js-doc
ellie(phi, m)Incomplete elliptic integralc-doc  •  js-doc
ellpk(x)Complete elliptic integralc-doc  •  js-doc
ellik(phi, m)Incomplete elliptic integralc-doc  •  js-doc
ellpj(u, m)Jacobian elliptic functionc-doc  •  js-doc
Probability
btdtr(a, b, x)Beta distributionc-doc  •  js-doc
smirnov(n, e)Exact Smirnov statistic, for one-sided test.c-doc  •  js-doc
kolmogorov(y)Kolmogorov's limiting distribution of two-sided test.c-doc  •  js-doc
smirnovi(n, p)Functional inverse of Smirnov distribution.c-doc  •  js-doc
kolmogi(p)Functional inverse of Kolmogorov statistic for two-sided test.c-doc  •  js-doc
nbdtri(k, n, p)Inverse Negative binomial distributionc-doc  •  js-doc
stdtri(k, p)Functional inverse of Student's t distributionc-doc  •  js-doc
bdtr(k, n, p)Binomial distributionc-doc  •  js-doc
bdtrc(k, n, p)Complemented binomialc-doc  •  js-doc
bdtri(k, n, y)Inverse binomialc-doc  •  js-doc
chdtr(df, x)Chi square distributionc-doc  •  js-doc
chdtrc(df, x)Complemented Chi squarec-doc  •  js-doc
chdtri(df, y)Inverse Chi squarec-doc  •  js-doc
fdtr(ia, ib, x)F distributionc-doc  •  js-doc
fdtrc(ia, ib, x)Complemented Fc-doc  •  js-doc
fdtri(ia, ib, y)Inverse F distributionc-doc  •  js-doc
gdtr(a, b, x)Gamma distributionc-doc  •  js-doc
gdtrc(a, b, x)Complemented gammac-doc  •  js-doc
nbdtr(k, n, p)Negative binomial distributionc-doc  •  js-doc
nbdtrc(k, n, p)Complemented negative binomialc-doc  •  js-doc
ndtr(a)Normal distributionc-doc  •  js-doc
ndtri(y0)Inverse normal distributionc-doc  •  js-doc
pdtr(k, m)Poisson distributionc-doc  •  js-doc
pdtrc(k, m)Complemented Poissonc-doc  •  js-doc
pdtri(k, y)Inverse Poisson distributionc-doc  •  js-doc
stdtr(k, t)Student's t distributionc-doc  •  js-doc
Miscellaneous
plancki(w, T)Integral of Planck's black body radiation formulac-doc  •  js-doc
planckc(w, T)Complemented Planck radiation integralc-doc  •  js-doc
planckd(w, T)Planck's black body radiation formulac-doc  •  js-doc
planckw(T)Wavelength, w, of maximum radiation at given temperature T.c-doc  •  js-doc
spence(x)Dilogarithmc-doc  •  js-doc
zetac(x)Riemann Zeta functionc-doc  •  js-doc
zeta(x, q)Two argument zeta functionc-doc  •  js-doc
struve(v, x)Struve functionc-doc  •  js-doc
Numerical Integration
simpsn(f, delta)Simpson's rulec-doc  •  js-doc
Complex Arithmetic
cadd(a, b, c)Complex additionc-doc  •  js-doc
csub(a, b, c)Subtractionc-doc  •  js-doc
cmul(a, b, c)Multiplicationc-doc  •  js-doc
cdiv(a, b, c)Divisionc-doc  •  js-doc
csqrt(z, w)Square rootc-doc  •  js-doc
Complex Exponential and Trigonometric
cexp(z, w)Exponentialc-doc  •  js-doc
clog(z, w)Logarithmc-doc  •  js-doc
ccos(z, w)Cosinec-doc  •  js-doc
cacos(z, w)Arc cosinec-doc  •  js-doc
csin(z, w)Sinec-doc  •  js-doc
casin(z, w)Arc sinec-doc  •  js-doc
ctan(z, w)Tangentc-doc  •  js-doc
catan(z, w)Arc tangentc-doc  •  js-doc
ccot(z, w)Cotangentc-doc  •  js-doc
Polynomials and Power Series
p1evl(x, coef, N)Evaluate polynomial when coefficient of x is 1.0.c-doc  •  js-doc
polylog(n, x)The polylogarithm of order nc-doc  •  js-doc
\n\n## Documentation\n\n### Arithmetic and Algebraic\n\n#### int = cephes.signbit(x: double)\n\n`signbit` is the \"Returns the sign bit\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#signbit.\n\n```js\nconst ret = cephes.signbit(x);\n```\n\n#### cephes.csinh(z: Complex, w: Complex)\n\n`csinh` is the \"Complex hyperbolic sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#csinh.\n\n```js\ncephes.csinh(z, w);\n```\n\n#### cephes.casinh(z: Complex, w: Complex)\n\n`casinh` is the \"Complex inverse hyperbolic sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#casinh.\n\n```js\ncephes.casinh(z, w);\n```\n\n#### cephes.ccosh(z: Complex, w: Complex)\n\n`ccosh` is the \"Complex hyperbolic cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ccosh.\n\n```js\ncephes.ccosh(z, w);\n```\n\n#### cephes.cacosh(z: Complex, w: Complex)\n\n`cacosh` is the \"Complex inverse hyperbolic cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cacosh.\n\n```js\ncephes.cacosh(z, w);\n```\n\n#### cephes.ctanh(z: Complex, w: Complex)\n\n`ctanh` is the \"Complex hyperbolic tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ctanh.\n\n```js\ncephes.ctanh(z, w);\n```\n\n#### cephes.catanh(z: Complex, w: Complex)\n\n`catanh` is the \"Complex inverse hyperbolic tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#catanh.\n\n```js\ncephes.catanh(z, w);\n```\n\n#### cephes.cpow(a: Complex, z: Complex, w: Complex)\n\n`cpow` is the \"Complex power function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cpow.\n\n```js\ncephes.cpow(a, z, w);\n```\n\n#### cephes.cneg(a: Complex)\n\n`cneg` is the \"Complex negative\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cneg.\n\n```js\ncephes.cneg(a);\n```\n\n#### int = cephes.isnan(x: double)\n\n`isnan` is the \"Check if Not-A-Number\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#isnan.\n\n```js\nconst ret = cephes.isnan(x);\n```\n\n#### int = cephes.isfinite(x: double)\n\n`isfinite` is the \"Check if finite\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#isfinite.\n\n```js\nconst ret = cephes.isfinite(x);\n```\n\n#### double = cephes.sqrt(x: double)\n\n`sqrt` is the \"Square root\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#sqrt.\n\n```js\nconst ret = cephes.sqrt(x);\n```\n\n#### double = cephes.cbrt(x: double)\n\n`cbrt` is the \"Cube root\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cbrt.\n\n```js\nconst ret = cephes.cbrt(x);\n```\n\n#### double = cephes.polevl(x: double, coef: Float64Array, N: int)\n\n`polevl` is the \"Evaluate polynomial\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#polevl.\n\n```js\nconst ret = cephes.polevl(x, new Float64Array(coef), N);\n```\n\n#### double = cephes.chbevl(x: double, array: Float64Array, n: int)\n\n`chbevl` is the \"Evaluate Chebyshev series\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#chbevl.\n\n```js\nconst ret = cephes.chbevl(x, new Float64Array(array), n);\n```\n\n#### double = cephes.round(x: double)\n\n`round` is the \"Round to nearest integer value\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#round.\n\n```js\nconst ret = cephes.round(x);\n```\n\n#### double = cephes.ceil(x: double)\n\n`ceil` is the \"Truncate upward to integer\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ceil.\n\n```js\nconst ret = cephes.ceil(x);\n```\n\n#### double = cephes.floor(x: double)\n\n`floor` is the \"Truncate downward to integer\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#floor.\n\n```js\nconst ret = cephes.floor(x);\n```\n\n#### [double, extra] = cephes.frexp(x: double)\n\n`frexp` is the \"Extract exponent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#frexp.\n\n```js\nconst [ret, extra] = cephes.frexp(x);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n pw2: int\n} = extra;\n```\n\n#### double = cephes.ldexp(x: double, pw2: int)\n\n`ldexp` is the \"Add integer to exponent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ldexp.\n\n```js\nconst ret = cephes.ldexp(x, pw2);\n```\n\n#### double = cephes.fabs(x: double)\n\n`fabs` is the \"Absolute value\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#fabs.\n\n```js\nconst ret = cephes.fabs(x);\n```\n\n### Exponential and Trigonometric\n\n#### double = cephes.expx2(x: double, sign: int)\n\n`expx2` is the \"Exponential of squared argument\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#expx2.\n\n```js\nconst ret = cephes.expx2(x, sign);\n```\n\n#### double = cephes.radian(d: double, m: double, s: double)\n\n`radian` is the \"Degrees, minutes, seconds to radians\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#radian.\n\n```js\nconst ret = cephes.radian(d, m, s);\n```\n\n#### [int, extra] = cephes.sincos(x: double, flg: int)\n\n`sincos` is the \"Circular sine and cosine of argument in degrees\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#sincos.\n\n```js\nconst [ret, extra] = cephes.sincos(x, flg);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n s: double,\n c: double\n} = extra;\n```\n\n#### double = cephes.cot(x: double)\n\n`cot` is the \"Circular cotangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cot.\n\n```js\nconst ret = cephes.cot(x);\n```\n\n#### double = cephes.cotdg(x: double)\n\n`cotdg` is the \"Circular cotangent of argument in degrees\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cotdg.\n\n```js\nconst ret = cephes.cotdg(x);\n```\n\n#### double = cephes.log1p(x: double)\n\n`log1p` is the \"Relative error approximations for log(1 + x)\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#log1p.\n\n```js\nconst ret = cephes.log1p(x);\n```\n\n#### double = cephes.expm1(x: double)\n\n`expm1` is the \"Relative error approximations for exp(x) - 1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#expm1.\n\n```js\nconst ret = cephes.expm1(x);\n```\n\n#### double = cephes.cosm1(x: double)\n\n`cosm1` is the \"Relative error approximations for cos(x) - 1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cosm1.\n\n```js\nconst ret = cephes.cosm1(x);\n```\n\n#### double = cephes.acos(x: double)\n\n`acos` is the \"Arc cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#acos.\n\n```js\nconst ret = cephes.acos(x);\n```\n\n#### double = cephes.acosh(x: double)\n\n`acosh` is the \"Arc hyperbolic cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#acosh.\n\n```js\nconst ret = cephes.acosh(x);\n```\n\n#### double = cephes.asinh(xx: double)\n\n`asinh` is the \"Arc hyperbolic sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#asinh.\n\n```js\nconst ret = cephes.asinh(xx);\n```\n\n#### double = cephes.atanh(x: double)\n\n`atanh` is the \"Arc hyperbolic tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#atanh.\n\n```js\nconst ret = cephes.atanh(x);\n```\n\n#### double = cephes.asin(x: double)\n\n`asin` is the \"Arcsine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#asin.\n\n```js\nconst ret = cephes.asin(x);\n```\n\n#### double = cephes.atan(x: double)\n\n`atan` is the \"Arctangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#atan.\n\n```js\nconst ret = cephes.atan(x);\n```\n\n#### double = cephes.atan2(y: double, x: double)\n\n`atan2` is the \"Quadrant correct arctangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#atan2.\n\n```js\nconst ret = cephes.atan2(y, x);\n```\n\n#### double = cephes.cos(x: double)\n\n`cos` is the \"Cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cos.\n\n```js\nconst ret = cephes.cos(x);\n```\n\n#### double = cephes.cosdg(x: double)\n\n`cosdg` is the \"Cosine of arg in degrees\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cosdg.\n\n```js\nconst ret = cephes.cosdg(x);\n```\n\n#### double = cephes.exp(x: double)\n\n`exp` is the \"Exponential, base e\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#exp.\n\n```js\nconst ret = cephes.exp(x);\n```\n\n#### double = cephes.exp2(x: double)\n\n`exp2` is the \"Exponential, base 2\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#exp2.\n\n```js\nconst ret = cephes.exp2(x);\n```\n\n#### double = cephes.exp10(x: double)\n\n`exp10` is the \"Exponential, base 10\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#exp10.\n\n```js\nconst ret = cephes.exp10(x);\n```\n\n#### double = cephes.cosh(x: double)\n\n`cosh` is the \"Hyperbolic cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cosh.\n\n```js\nconst ret = cephes.cosh(x);\n```\n\n#### double = cephes.sinh(x: double)\n\n`sinh` is the \"Hyperbolic sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#sinh.\n\n```js\nconst ret = cephes.sinh(x);\n```\n\n#### double = cephes.tanh(x: double)\n\n`tanh` is the \"Hyperbolic tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#tanh.\n\n```js\nconst ret = cephes.tanh(x);\n```\n\n#### double = cephes.log(x: double)\n\n`log` is the \"Logarithm, base e\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#log.\n\n```js\nconst ret = cephes.log(x);\n```\n\n#### double = cephes.log2(x: double)\n\n`log2` is the \"Logarithm, base 2\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#log2.\n\n```js\nconst ret = cephes.log2(x);\n```\n\n#### double = cephes.log10(x: double)\n\n`log10` is the \"Logarithm, base 10\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#log10.\n\n```js\nconst ret = cephes.log10(x);\n```\n\n#### double = cephes.pow(x: double, y: double)\n\n`pow` is the \"Power\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#pow.\n\n```js\nconst ret = cephes.pow(x, y);\n```\n\n#### double = cephes.powi(x: double, nn: int)\n\n`powi` is the \"Integer Power\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#powi.\n\n```js\nconst ret = cephes.powi(x, nn);\n```\n\n#### double = cephes.sin(x: double)\n\n`sin` is the \"Sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#sin.\n\n```js\nconst ret = cephes.sin(x);\n```\n\n#### double = cephes.sindg(x: double)\n\n`sindg` is the \"Sine of arg in degrees\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#sindg.\n\n```js\nconst ret = cephes.sindg(x);\n```\n\n#### double = cephes.tan(x: double)\n\n`tan` is the \"Tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#tan.\n\n```js\nconst ret = cephes.tan(x);\n```\n\n#### double = cephes.tandg(x: double)\n\n`tandg` is the \"Tangent of arg in degrees\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#tandg.\n\n```js\nconst ret = cephes.tandg(x);\n```\n\n### Exponential integral\n\n#### double = cephes.ei(x: double)\n\n`ei` is the \"Exponential integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ei.\n\n```js\nconst ret = cephes.ei(x);\n```\n\n#### double = cephes.expn(n: int, x: double)\n\n`expn` is the \"Exponential integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#expn.\n\n```js\nconst ret = cephes.expn(n, x);\n```\n\n#### [int, extra] = cephes.shichi(x: double)\n\n`shichi` is the \"Hyperbolic cosine integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#shichi.\n\n```js\nconst [ret, extra] = cephes.shichi(x);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n si: double,\n ci: double\n} = extra;\n```\n\n#### [int, extra] = cephes.sici(x: double)\n\n`sici` is the \"Cosine integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#sici.\n\n```js\nconst [ret, extra] = cephes.sici(x);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n si: double,\n ci: double\n} = extra;\n```\n\n### Gamma\n\n#### double = cephes.lbeta(a: double, b: double)\n\n`lbeta` is the \"Natural log of |beta|.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#lbeta.\n\n```js\nconst ret = cephes.lbeta(a, b);\n```\n\n#### double = cephes.beta(a: double, b: double)\n\n`beta` is the \"Beta\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#beta.\n\n```js\nconst ret = cephes.beta(a, b);\n```\n\n#### double = cephes.fac(i: int)\n\n`fac` is the \"Factorial\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#fac.\n\n```js\nconst ret = cephes.fac(i);\n```\n\n#### double = cephes.gamma(x: double)\n\n`gamma` is the \"Gamma\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#gamma.\n\n```js\nconst ret = cephes.gamma(x);\n```\n\n#### double = cephes.lgam(x: double)\n\n`lgam` is the \"Logarithm of gamma function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#lgam.\n\n```js\nconst ret = cephes.lgam(x);\n```\n\n#### double = cephes.incbet(aa: double, bb: double, xx: double)\n\n`incbet` is the \"Incomplete beta integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#incbet.\n\n```js\nconst ret = cephes.incbet(aa, bb, xx);\n```\n\n#### double = cephes.incbi(aa: double, bb: double, yy0: double)\n\n`incbi` is the \"Inverse beta integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#incbi.\n\n```js\nconst ret = cephes.incbi(aa, bb, yy0);\n```\n\n#### double = cephes.igam(a: double, x: double)\n\n`igam` is the \"Incomplete gamma integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#igam.\n\n```js\nconst ret = cephes.igam(a, x);\n```\n\n#### double = cephes.igamc(a: double, x: double)\n\n`igamc` is the \"Complemented gamma integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#igamc.\n\n```js\nconst ret = cephes.igamc(a, x);\n```\n\n#### double = cephes.igami(a: double, y0: double)\n\n`igami` is the \"Inverse gamma integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#igami.\n\n```js\nconst ret = cephes.igami(a, y0);\n```\n\n#### double = cephes.psi(x: double)\n\n`psi` is the \"Psi (digamma) function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#psi.\n\n```js\nconst ret = cephes.psi(x);\n```\n\n#### double = cephes.rgamma(x: double)\n\n`rgamma` is the \"Reciprocal Gamma\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#rgamma.\n\n```js\nconst ret = cephes.rgamma(x);\n```\n\n### Error function\n\n#### double = cephes.erf(x: double)\n\n`erf` is the \"Error function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#erf.\n\n```js\nconst ret = cephes.erf(x);\n```\n\n#### double = cephes.erfc(a: double)\n\n`erfc` is the \"Complemented error function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#erfc.\n\n```js\nconst ret = cephes.erfc(a);\n```\n\n#### double = cephes.dawsn(xx: double)\n\n`dawsn` is the \"Dawson's integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#dawsn.\n\n```js\nconst ret = cephes.dawsn(xx);\n```\n\n#### [int, extra] = cephes.fresnl(xxa: double)\n\n`fresnl` is the \"Fresnel integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#fresnl.\n\n```js\nconst [ret, extra] = cephes.fresnl(xxa);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n ssa: double,\n cca: double\n} = extra;\n```\n\n### Bessel\n\n#### [int, extra] = cephes.airy(x: double)\n\n`airy` is the \"Airy\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#airy.\n\n```js\nconst [ret, extra] = cephes.airy(x);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n ai: double,\n aip: double,\n bi: double,\n bip: double\n} = extra;\n```\n\n#### double = cephes.j0(x: double)\n\n`j0` is the \"Bessel, order 0\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#j0.\n\n```js\nconst ret = cephes.j0(x);\n```\n\n#### double = cephes.j1(x: double)\n\n`j1` is the \"Bessel, order 1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#j1.\n\n```js\nconst ret = cephes.j1(x);\n```\n\n#### double = cephes.jn(n: int, x: double)\n\n`jn` is the \"Bessel, order n\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#jn.\n\n```js\nconst ret = cephes.jn(n, x);\n```\n\n#### double = cephes.jv(n: double, x: double)\n\n`jv` is the \"Bessel, noninteger order\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#jv.\n\n```js\nconst ret = cephes.jv(n, x);\n```\n\n#### double = cephes.y0(x: double)\n\n`y0` is the \"Bessel, second kind, order 0\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#y0.\n\n```js\nconst ret = cephes.y0(x);\n```\n\n#### double = cephes.y1(x: double)\n\n`y1` is the \"Bessel, second kind, order 1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#y1.\n\n```js\nconst ret = cephes.y1(x);\n```\n\n#### double = cephes.yn(n: int, x: double)\n\n`yn` is the \"Bessel, second kind, order n\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#yn.\n\n```js\nconst ret = cephes.yn(n, x);\n```\n\n#### double = cephes.yv(v: double, x: double)\n\n`yv` is the \"Bessel, noninteger order\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#yv.\n\n```js\nconst ret = cephes.yv(v, x);\n```\n\n#### double = cephes.i0(x: double)\n\n`i0` is the \"Modified Bessel, order 0\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#i0.\n\n```js\nconst ret = cephes.i0(x);\n```\n\n#### double = cephes.i0e(x: double)\n\n`i0e` is the \"Exponentially scaled i0\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#i0e.\n\n```js\nconst ret = cephes.i0e(x);\n```\n\n#### double = cephes.i1(x: double)\n\n`i1` is the \"Modified Bessel, order 1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#i1.\n\n```js\nconst ret = cephes.i1(x);\n```\n\n#### double = cephes.i1e(x: double)\n\n`i1e` is the \"Exponentially scaled i1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#i1e.\n\n```js\nconst ret = cephes.i1e(x);\n```\n\n#### double = cephes.iv(v: double, x: double)\n\n`iv` is the \"Modified Bessel, nonint. order\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#iv.\n\n```js\nconst ret = cephes.iv(v, x);\n```\n\n#### double = cephes.k0(x: double)\n\n`k0` is the \"Mod. Bessel, 3rd kind, order 0\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#k0.\n\n```js\nconst ret = cephes.k0(x);\n```\n\n#### double = cephes.k0e(x: double)\n\n`k0e` is the \"Exponentially scaled k0\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#k0e.\n\n```js\nconst ret = cephes.k0e(x);\n```\n\n#### double = cephes.k1(x: double)\n\n`k1` is the \"Mod. Bessel, 3rd kind, order 1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#k1.\n\n```js\nconst ret = cephes.k1(x);\n```\n\n#### double = cephes.k1e(x: double)\n\n`k1e` is the \"Exponentially scaled k1\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#k1e.\n\n```js\nconst ret = cephes.k1e(x);\n```\n\n#### double = cephes.kn(nn: int, x: double)\n\n`kn` is the \"Mod. Bessel, 3rd kind, order n\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#kn.\n\n```js\nconst ret = cephes.kn(nn, x);\n```\n\n### Hypergeometric\n\n#### double = cephes.hyperg(a: double, b: double, x: double)\n\n`hyperg` is the \"Confluent hypergeometric\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#hyperg.\n\n```js\nconst ret = cephes.hyperg(a, b, x);\n```\n\n#### double = cephes.hyp2f1(a: double, b: double, c: double, x: double)\n\n`hyp2f1` is the \"Gauss hypergeometric function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#hyp2f1.\n\n```js\nconst ret = cephes.hyp2f1(a, b, c, x);\n```\n\n### Elliptic\n\n#### double = cephes.ellpe(x: double)\n\n`ellpe` is the \"Complete elliptic integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ellpe.\n\n```js\nconst ret = cephes.ellpe(x);\n```\n\n#### double = cephes.ellie(phi: double, m: double)\n\n`ellie` is the \"Incomplete elliptic integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ellie.\n\n```js\nconst ret = cephes.ellie(phi, m);\n```\n\n#### double = cephes.ellpk(x: double)\n\n`ellpk` is the \"Complete elliptic integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ellpk.\n\n```js\nconst ret = cephes.ellpk(x);\n```\n\n#### double = cephes.ellik(phi: double, m: double)\n\n`ellik` is the \"Incomplete elliptic integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ellik.\n\n```js\nconst ret = cephes.ellik(phi, m);\n```\n\n#### [int, extra] = cephes.ellpj(u: double, m: double)\n\n`ellpj` is the \"Jacobian elliptic function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ellpj.\n\n```js\nconst [ret, extra] = cephes.ellpj(u, m);\n```\n\nThe `extra` object contains the following values: \n\n```js\nconst {\n sn: double,\n cn: double,\n dn: double,\n ph: double\n} = extra;\n```\n\n### Probability\n\n#### double = cephes.btdtr(a: double, b: double, x: double)\n\n`btdtr` is the \"Beta distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#btdtr.\n\n```js\nconst ret = cephes.btdtr(a, b, x);\n```\n\n#### double = cephes.smirnov(n: int, e: double)\n\n`smirnov` is the \"Exact Smirnov statistic, for one-sided test.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#smirnov.\n\n```js\nconst ret = cephes.smirnov(n, e);\n```\n\n#### double = cephes.kolmogorov(y: double)\n\n`kolmogorov` is the \"Kolmogorov's limiting distribution of two-sided test.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#kolmogorov.\n\n```js\nconst ret = cephes.kolmogorov(y);\n```\n\n#### double = cephes.smirnovi(n: int, p: double)\n\n`smirnovi` is the \"Functional inverse of Smirnov distribution.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#smirnovi.\n\n```js\nconst ret = cephes.smirnovi(n, p);\n```\n\n#### double = cephes.kolmogi(p: double)\n\n`kolmogi` is the \"Functional inverse of Kolmogorov statistic for two-sided test.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#kolmogi.\n\n```js\nconst ret = cephes.kolmogi(p);\n```\n\n#### double = cephes.nbdtri(k: int, n: int, p: double)\n\n`nbdtri` is the \"Inverse Negative binomial distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#nbdtri.\n\n```js\nconst ret = cephes.nbdtri(k, n, p);\n```\n\n#### double = cephes.stdtri(k: int, p: double)\n\n`stdtri` is the \"Functional inverse of Student's t distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#stdtri.\n\n```js\nconst ret = cephes.stdtri(k, p);\n```\n\n#### double = cephes.bdtr(k: int, n: int, p: double)\n\n`bdtr` is the \"Binomial distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#bdtr.\n\n```js\nconst ret = cephes.bdtr(k, n, p);\n```\n\n#### double = cephes.bdtrc(k: int, n: int, p: double)\n\n`bdtrc` is the \"Complemented binomial\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#bdtrc.\n\n```js\nconst ret = cephes.bdtrc(k, n, p);\n```\n\n#### double = cephes.bdtri(k: int, n: int, y: double)\n\n`bdtri` is the \"Inverse binomial\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#bdtri.\n\n```js\nconst ret = cephes.bdtri(k, n, y);\n```\n\n#### double = cephes.chdtr(df: double, x: double)\n\n`chdtr` is the \"Chi square distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#chdtr.\n\n```js\nconst ret = cephes.chdtr(df, x);\n```\n\n#### double = cephes.chdtrc(df: double, x: double)\n\n`chdtrc` is the \"Complemented Chi square\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#chdtrc.\n\n```js\nconst ret = cephes.chdtrc(df, x);\n```\n\n#### double = cephes.chdtri(df: double, y: double)\n\n`chdtri` is the \"Inverse Chi square\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#chdtri.\n\n```js\nconst ret = cephes.chdtri(df, y);\n```\n\n#### double = cephes.fdtr(ia: int, ib: int, x: double)\n\n`fdtr` is the \"F distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#fdtr.\n\n```js\nconst ret = cephes.fdtr(ia, ib, x);\n```\n\n#### double = cephes.fdtrc(ia: int, ib: int, x: double)\n\n`fdtrc` is the \"Complemented F\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#fdtrc.\n\n```js\nconst ret = cephes.fdtrc(ia, ib, x);\n```\n\n#### double = cephes.fdtri(ia: int, ib: int, y: double)\n\n`fdtri` is the \"Inverse F distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#fdtri.\n\n```js\nconst ret = cephes.fdtri(ia, ib, y);\n```\n\n#### double = cephes.gdtr(a: double, b: double, x: double)\n\n`gdtr` is the \"Gamma distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#gdtr.\n\n```js\nconst ret = cephes.gdtr(a, b, x);\n```\n\n#### double = cephes.gdtrc(a: double, b: double, x: double)\n\n`gdtrc` is the \"Complemented gamma\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#gdtrc.\n\n```js\nconst ret = cephes.gdtrc(a, b, x);\n```\n\n#### double = cephes.nbdtr(k: int, n: int, p: double)\n\n`nbdtr` is the \"Negative binomial distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#nbdtr.\n\n```js\nconst ret = cephes.nbdtr(k, n, p);\n```\n\n#### double = cephes.nbdtrc(k: int, n: int, p: double)\n\n`nbdtrc` is the \"Complemented negative binomial\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#nbdtrc.\n\n```js\nconst ret = cephes.nbdtrc(k, n, p);\n```\n\n#### double = cephes.ndtr(a: double)\n\n`ndtr` is the \"Normal distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ndtr.\n\n```js\nconst ret = cephes.ndtr(a);\n```\n\n#### double = cephes.ndtri(y0: double)\n\n`ndtri` is the \"Inverse normal distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ndtri.\n\n```js\nconst ret = cephes.ndtri(y0);\n```\n\n#### double = cephes.pdtr(k: int, m: double)\n\n`pdtr` is the \"Poisson distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#pdtr.\n\n```js\nconst ret = cephes.pdtr(k, m);\n```\n\n#### double = cephes.pdtrc(k: int, m: double)\n\n`pdtrc` is the \"Complemented Poisson\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#pdtrc.\n\n```js\nconst ret = cephes.pdtrc(k, m);\n```\n\n#### double = cephes.pdtri(k: int, y: double)\n\n`pdtri` is the \"Inverse Poisson distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#pdtri.\n\n```js\nconst ret = cephes.pdtri(k, y);\n```\n\n#### double = cephes.stdtr(k: int, t: double)\n\n`stdtr` is the \"Student's t distribution\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#stdtr.\n\n```js\nconst ret = cephes.stdtr(k, t);\n```\n\n### Miscellaneous\n\n#### double = cephes.plancki(w: double, T: double)\n\n`plancki` is the \"Integral of Planck's black body radiation formula\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#plancki.\n\n```js\nconst ret = cephes.plancki(w, T);\n```\n\n#### double = cephes.planckc(w: double, T: double)\n\n`planckc` is the \"Complemented Planck radiation integral\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#planckc.\n\n```js\nconst ret = cephes.planckc(w, T);\n```\n\n#### double = cephes.planckd(w: double, T: double)\n\n`planckd` is the \"Planck's black body radiation formula\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#planckd.\n\n```js\nconst ret = cephes.planckd(w, T);\n```\n\n#### double = cephes.planckw(T: double)\n\n`planckw` is the \"Wavelength, w, of maximum radiation at given temperature T.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#planckw.\n\n```js\nconst ret = cephes.planckw(T);\n```\n\n#### double = cephes.spence(x: double)\n\n`spence` is the \"Dilogarithm\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#spence.\n\n```js\nconst ret = cephes.spence(x);\n```\n\n#### double = cephes.zetac(x: double)\n\n`zetac` is the \"Riemann Zeta function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#zetac.\n\n```js\nconst ret = cephes.zetac(x);\n```\n\n#### double = cephes.zeta(x: double, q: double)\n\n`zeta` is the \"Two argument zeta function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#zeta.\n\n```js\nconst ret = cephes.zeta(x, q);\n```\n\n#### double = cephes.struve(v: double, x: double)\n\n`struve` is the \"Struve function\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#struve.\n\n```js\nconst ret = cephes.struve(v, x);\n```\n\n### Numerical Integration\n\n#### double = cephes.simpsn(f: Float64Array, delta: double)\n\n`simpsn` is the \"Simpson's rule\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#simpsn.\n\n```js\nconst ret = cephes.simpsn(new Float64Array(f), delta);\n```\n\n### Complex Arithmetic\n\n#### cephes.cadd(a: Complex, b: Complex, c: Complex)\n\n`cadd` is the \"Complex addition\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cadd.\n\n```js\ncephes.cadd(a, b, c);\n```\n\n#### cephes.csub(a: Complex, b: Complex, c: Complex)\n\n`csub` is the \"Subtraction\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#csub.\n\n```js\ncephes.csub(a, b, c);\n```\n\n#### cephes.cmul(a: Complex, b: Complex, c: Complex)\n\n`cmul` is the \"Multiplication\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cmul.\n\n```js\ncephes.cmul(a, b, c);\n```\n\n#### cephes.cdiv(a: Complex, b: Complex, c: Complex)\n\n`cdiv` is the \"Division\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cdiv.\n\n```js\ncephes.cdiv(a, b, c);\n```\n\n#### cephes.csqrt(z: Complex, w: Complex)\n\n`csqrt` is the \"Square root\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#csqrt.\n\n```js\ncephes.csqrt(z, w);\n```\n\n### Complex Exponential and Trigonometric\n\n#### cephes.cexp(z: Complex, w: Complex)\n\n`cexp` is the \"Exponential\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cexp.\n\n```js\ncephes.cexp(z, w);\n```\n\n#### cephes.clog(z: Complex, w: Complex)\n\n`clog` is the \"Logarithm\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#clog.\n\n```js\ncephes.clog(z, w);\n```\n\n#### cephes.ccos(z: Complex, w: Complex)\n\n`ccos` is the \"Cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ccos.\n\n```js\ncephes.ccos(z, w);\n```\n\n#### cephes.cacos(z: Complex, w: Complex)\n\n`cacos` is the \"Arc cosine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#cacos.\n\n```js\ncephes.cacos(z, w);\n```\n\n#### cephes.csin(z: Complex, w: Complex)\n\n`csin` is the \"Sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#csin.\n\n```js\ncephes.csin(z, w);\n```\n\n#### cephes.casin(z: Complex, w: Complex)\n\n`casin` is the \"Arc sine\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#casin.\n\n```js\ncephes.casin(z, w);\n```\n\n#### cephes.ctan(z: Complex, w: Complex)\n\n`ctan` is the \"Tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ctan.\n\n```js\ncephes.ctan(z, w);\n```\n\n#### cephes.catan(z: Complex, w: Complex)\n\n`catan` is the \"Arc tangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#catan.\n\n```js\ncephes.catan(z, w);\n```\n\n#### cephes.ccot(z: Complex, w: Complex)\n\n`ccot` is the \"Cotangent\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#ccot.\n\n```js\ncephes.ccot(z, w);\n```\n\n### Polynomials and Power Series\n\n#### double = cephes.p1evl(x: double, coef: Float64Array, N: int)\n\n`p1evl` is the \"Evaluate polynomial when coefficient of x is 1.0.\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#p1evl.\n\n```js\nconst ret = cephes.p1evl(x, new Float64Array(coef), N);\n```\n\n#### double = cephes.polylog(n: int, x: double)\n\n`polylog` is the \"The polylogarithm of order n\". You can read the full documentation at http://www.netlib.org/cephes/doubldoc.html#polylog.\n\n```js\nconst ret = cephes.polylog(n, x);\n```\n\n\n## LICENSE\n\nThe cephes library, that this module wraps, can be found at\nhttp://www.netlib.org/cephes/. The cephes library from the NetLib website,\ndoesn't have any license. However, the author Stephen Moshier, has kindly given\npermission for it to be included in a BSD-licensed package.\n\nPlease see the [LICENSE](LICENSE) file, for all the details.\n\n[![banner](https://raw.githubusercontent.com/nearform/.github/refs/heads/master/assets/os-banner-green.svg)](https://www.nearform.com/contact/?utm_source=open-source&utm_medium=banner&utm_campaign=os-project-pages)","users":{}}