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

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goft.pdf |goft.html✨
goft/json (API)

# Install 'goft' in R:
install.packages('goft', repos = c('https://elizagestrada.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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:

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

1.81 score 64 scripts 347 downloads 23 exports 12 dependencies

Last updated 4 years agofrom:2339e90085. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

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