goft: Tests of Fit for some Probability Distributions

Goodness-of-fit tests for skew-normal, gamma, inverse Gaussian, log-normal, 'Weibull', 'Frechet', Gumbel, normal, multivariate normal, Cauchy, Laplace or double exponential, exponential and generalized Pareto distributions. Parameter estimators for gamma, inverse Gaussian and generalized Pareto distributions.

Version:	1.3.6
Depends:	R (≥ 2.10), stats, fitdistrplus, sn
Published:	2020-06-25
Author:	Elizabeth Gonzalez-Estrada, Jose A. Villasenor-Alva
Maintainer:	Elizabeth Gonzalez-Estrada <egonzalez at colpos.mx>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	goft results

Documentation:

Reference manual:

goft.pdf

Downloads:

Package source:	goft_1.3.6.tar.gz
Windows binaries:	r-devel: goft_1.3.6.zip, r-release: goft_1.3.6.zip, r-oldrel: goft_1.3.6.zip
macOS binaries:	r-release (arm64): goft_1.3.6.tgz, r-oldrel (arm64): goft_1.3.6.tgz, r-release (x86_64): goft_1.3.6.tgz, r-oldrel (x86_64): goft_1.3.6.tgz
Old sources:	goft archive

Linking:

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