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goft (version 1.3.6)

Tests of Fit for some Probability Distributions

Description

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.

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Version

Install

install.packages('goft')

Monthly Downloads

386

Version

1.3.6

License

GPL (>= 3)

Maintainer

Elizabeth GonzalezEstrada

Last Published

June 25th, 2020

Functions in goft (1.3.6)

Test for the Gamma distribution

Shapiro-Wilk test for multivariate normality

Test for normality

Tests for the Inverse Gaussian distribution

Test for the Weibull distribution

Test for skew normality

Ozone concentrations over 0.165 ppm

Compressive strength of maize seeds

Tests for exponentiality

Test for the lognormal distribution

Monthly maximum ozone concentrations

Fitting the Gamma distribution to data

Tests for the extreme value distributions

Bootstrap test for the generalized Pareto distribution

Zoometric measurements of goats

Fitting the generalized Pareto distribution to data

Fitting the Inverse Gaussian distribution to data

Tests for the Laplace or double exponential distribution

Tests for the Cauchy distribution