@stdlib/stats-base-dists-beta-logcdf
Beta distribution logarithm of cumulative distribution function (CDF).
0.2.1 • Published 3 months ago
LN Packages
@stdlib/stats-base-dists-beta-logpdf
Beta distribution logarithm of probability density function (PDF).
@stdlib/stats-base-dists-arcsine-logcdf
Arcsine distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-arcsine-logpdf
Arcsine distribution logarithm of probability density function (PDF).
@stdlib/stats-base-dists-rayleigh-logcdf
Rayleigh distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-rayleigh-logpdf
Rayleigh distribution logarithm of probability density function (PDF).
@stdlib/stats-base-dists-uniform-logcdf
Uniform distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-uniform-logpdf
Uniform distribution logarithm of probability density function (PDF).
@stdlib/stats-base-dists-t-logcdf
Natural logarithm of the cumulative distribution function (CDF) for a Student's t distribution.
@stdlib/stats-base-dists-t-logpdf
Natural logarithm of the probability density function (PDF) for a Student's t distribution.
@stdlib/stats-base-dists-weibull-logcdf
Weibull distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-weibull-logpdf
Weibull distribution logarithm of probability density function (PDF).
@stdlib/stats-base-dists-triangular-logcdf
Triangular distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-triangular-logpdf
Triangular distribution logarithm of probability density function (PDF).
@stdlib/constants-float64-half-ln-two
One half times the natural logarithm of 2.
@stdlib/constants-float64-ln-half
Natural logarithm of 1/2.
@stdlib/constants-float64-ln-sqrt-two-pi
Natural logarithm of the square root of 2π.
@stdlib/constants-float64-ln-ten
Natural logarithm of 10.
@stdlib/math-base-special-gammaln
Natural logarithm of the gamma function.
@stdlib/math-base-special-xlog1py
Compute `x * ln(y+1)` so that the result is `0` if `x = 0`.