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-release (x86_64): goft_1.3.6.tgz, r-oldrel: goft_1.3.6.tgz
Old sources: goft archive

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