The goal of this toolbox is to provide accurate distribution functions.
The provided functions are designed to be compatible with Matlab.
The goal of this toolbox is to provide accurate distribution functions.
The provided functions are designed to be compatible with Matlab.
Features
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Beta
* distfun_betacdf — Beta CDF
* distfun_betainv — Beta Inverse CDF
* distfun_betapdf — Beta PDF
* distfun_betarnd — Beta random numbers
* distfun_betastat — Beta mean and variance
Exponential
* distfun_expcdf — Exponential CDF
* distfun_expinv — Exponential Inverse CDF
* distfun_exppdf — Exponential PDF
* distfun_exprnd — Exponential random numbers
* distfun_expstat — Exponential mean and variance
Gamma
* distfun_gamcdf — Gamma CDF
* distfun_gaminv — Gamma Inverse CDF
* distfun_gampdf — Gamma PDF
* distfun_gamrnd — Gamma random numbers
* distfun_gamstat — Gamma mean and variance
LogNormal
* distfun_logncdf — Lognormal CDF
* distfun_logninv — Lognormal Inverse CDF
* distfun_lognpdf — Lognormal PDF
* distfun_lognrnd — Lognormal random numbers
* distfun_lognstat — LogNormal mean and variance
Normal
* distfun_normcdf — Normal CDF
* distfun_norminv — Normal Inverse CDF
* distfun_normpdf — Normal PDF
* distfun_normrnd — Normal random numbers
* distfun_normstat — Normal mean and variance
Uniform
* distfun_unifcdf — Uniform CDF
* distfun_unifinv — Uniform Inverse CDF
* distfun_unifpdf — Uniform PDF
* distfun_unifrnd — Uniform random numbers
* distfun_unifstat — Uniform mean and variance
Support
* distfun_erfcinv — Inverse erfc function
* distfun_getpath — Returns path of current module
