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goft (version 1.3.1)

Tests of Fit for some Probability Distributions

Description

Goodness-of-fit tests for gamma, inverse Gaussian, lognormal, Weibull, Frechet, Gumbel, univariate 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

406

Version

1.3.1

License

GPL (>= 3)

Maintainer

Elizabeth GonzalezEstrada

Last Published

May 24th, 2016

Functions in goft (1.3.1)

Test for the Gamma distribution

Fitting the Gamma distribution to data

Fitting the generalized Pareto distribution to data

Bootstrap test for the generalized Pareto distribution

Tests for exponentiality

Tests for the extreme value distributions

Zoometric measurements of goats

Fitting the Inverse Gaussian distribution to data

Test for the Cauchy distribution

Tests for the Laplace or double exponential distribution

Ozone concentrations over 0.165 ppm

Compressive strength of maize seeds

Monthly maximum ozone concentrations

Test for the Weibull distribution

Tests for the Inverse Gaussian distribution

Shapiro-Wilk test for multivariate normality

Test for normality

Test for the lognormal distribution