Package: goft 1.3.6

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.

Authors:Elizabeth Gonzalez-Estrada, Jose A. Villasenor-Alva

goft_1.3.6.tar.gz
goft_1.3.6.zip(r-4.7-any)goft_1.3.6.zip(r-4.6-any)goft_1.3.6.zip(r-4.5-any)
goft_1.3.6.tgz(r-4.6-any)goft_1.3.6.tgz(r-4.5-any)
goft_1.3.6.tar.gz(r-4.7-any)goft_1.3.6.tar.gz(r-4.6-any)
goft_1.3.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
goft/json (API)

# Install 'goft' in R:
install.packages('goft', repos = c('https://elizagestrada.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • goats - Zoometric measurements of goats
  • o3 - Ozone concentrations over 0.165 ppm
  • o3max - Monthly maximum ozone concentrations
  • strength - Compressive strength of maize seeds

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.86 score 72 scripts 556 downloads 23 exports 12 dependencies

Last updated from:2339e90085. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK113
source / vignettesOK136
linux-releaseOK109
macos-releaseOK104
macos-oldrelOK106
windows-develOK80
windows-releaseOK85
windows-oldrelOK93
wasm-releaseOK76

Exports:.ad.stat.exp.amle_method.combined_method.gammadist.test2.R1.R2.rgp.shapirocauchy_testev_testexp_testgamma_fitgamma_testgp_fitgp_testig_fitig_testlaplace_testlnorm_testmvshapiro_testnormal_testsn_testweibull_test

Dependencies:fitdistrpluslatticeMASSMatrixMatrixModelsmnormtnumDerivquantregrlangsnSparseMsurvival