Methods and Algorithms for Correlation Analysis in R
Methods and Algorithms for Correlation Analysis in R - Published in JOSS (2020)
@stdlib/math-base-special-gamma-lanczos-sum-expg-scaled
Calculate a scaled Lanczos sum for the approximation of the gamma function.
@stdlib/math-base-special-gamma-delta-ratio
Compute the ratio of two gamma functions.
@stdlib/math-base-special-gamma-lanczos-sum
Calculate the Lanczos sum for the approximation of the gamma function.
@stdlib/stats-base-dists-gamma-cdf
Gamma distribution cumulative distribution function (CDF).
@stdlib/constants-float64-gamma-lanczos-g
Arbitrary constant `g` to be used in Lanczos approximation functions.
@stdlib/math-base-special-factorialln
Evaluate the natural logarithm of the factorial function.
@stdlib/stats-base-dists-gamma-pdf
Gamma distribution probability density function (PDF).
@stdlib/stats-base-dists-gamma-logpdf
Gamma distribution logarithm of probability density function (PDF).
@stdlib/stats-base-dists-invgamma-cdf
Inverse gamma distribution cumulative distribution function (CDF).
@stdlib/stats-base-dists-gamma-entropy
Gamma distribution differential entropy.
@stdlib/stats-base-dists-gamma-mgf
Gamma distribution moment-generating function (MGF).
@stdlib/stats-base-dists-invgamma-variance
Inverse gamma distribution variance.
@stdlib/stats-base-dists-invgamma-stdev
Inverse gamma distribution standard deviation.
@stdlib/stats-base-dists-invgamma-kurtosis
Inverse gamma distribution excess kurtosis.
@stdlib/stats-base-dists-invgamma-pdf
Inverse gamma distribution probability density function (PDF).
@stdlib/stats-base-dists-gamma-logcdf
Gamma distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-invgamma-mean
Inverse gamma distribution expected value.
@stdlib/stats-base-dists-invgamma-entropy
Inverse gamma distribution differential entropy.
@stdlib/math-iter-special-gamma1pm1
Create an iterator which computes `gamma(x+1) - 1` for each iterated value.
@stdlib/math-iter-special-gamma
Create an iterator which evaluates the gamma function for each iterated value.
@stdlib/stats-base-dists-invgamma-logpdf
Natural logarithm of the probability density function (PDF) for an inverse gamma distribution.
@stdlib/math-iter-special-betaln
Create an iterator which evaluates the natural logarithm of the beta function.
@stdlib/stats-base-dists-invgamma-quantile
Inverse gamma distribution quantile function.
@stdlib/random-streams-invgamma
Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.
@stdlib/math-iter-special-factorial
Create an iterator which evaluates the factorial function for each iterated value.
@stdlib/stats-base-dists-invgamma-skewness
Inverse gamma distribution skewness.
@stdlib/math-iter-special-digamma
Create an iterator which evaluates the digamma function for each iterated value.
@stdlib/math-iter-special-gammaln
Create an iterator which evaluates the natural logarithm of the gamma function for each iterated value.
@stdlib/random-iter-invgamma
Create an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.
@stdlib/math-iter-special-factorialln
Create an iterator which evaluates the natural logarithm of the factorial function for each iterated value.
@stdlib/math-iter-special-beta
Create an iterator which evaluates the beta function.
@stdlib/random-iter-gamma
Create an iterator for generating pseudorandom numbers drawn from a gamma distribution.
@stdlib/random-streams-gamma
Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.
@stdlib/random-array-geometric
Create an array containing pseudorandom numbers drawn from a geometric distribution.
@stdlib/random-array-invgamma
Create an array containing pseudorandom numbers drawn from an inverse gamma distribution.
constants-float32-gamma-lanczos-g
Arbitrary constant `g` to be used in Lanczos approximation functions.
math-base-special-gammasgnf
Computes the sign of the gamma function for a single-precision floating-point number.
math-base-special-gamma-lanczos-sum-expg-scaledf
This repository provides an efficient implementation of the scaled gamma function using the Lanczos sum. It aims to enhance numerical accuracy in computations, making it a valuable tool for developers working with mathematical applications. 🛠️📊
@stdlib/random-array-gamma
Create an array containing pseudorandom numbers drawn from a gamma distribution.
@stdlib/math-iter-special-trigamma
Create an iterator which evaluates the trigamma function for each iterated value.
random-strided-gamma
Fill a strided array with pseudorandom numbers drawn from a gamma distribution.