goft: Tests of Fit for some Probability Distributions

Goodness-of-fit tests for 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: 1.3.4
Depends: R (≥ 2.10), stats, fitdistrplus
Published: 2017-11-06
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


Reference manual: goft.pdf
Package source: goft_1.3.4.tar.gz
Windows binaries: r-devel: goft_1.3.4.zip, r-release: goft_1.3.4.zip, r-oldrel: goft_1.3.4.zip
OS X El Capitan binaries: r-release: goft_1.3.4.tgz
OS X Mavericks binaries: r-oldrel: goft_1.3.4.tgz
Old sources: goft archive

Reverse dependencies:

Reverse imports: permDep


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