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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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Install
install.packages('goft')
Monthly Downloads
416
Version
1.3.1
License
GPL (>= 3)
Maintainer
Elizabeth GonzalezEstrada
Last Published
May 24th, 2016
Functions in goft (1.3.1)
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gamma_test
Test for the Gamma distribution
gamma_fit
Fitting the Gamma distribution to data
gp.fit
Fitting the generalized Pareto distribution to data
gp.test
Bootstrap test for the generalized Pareto distribution
exp_test
Tests for exponentiality
ev.test
Tests for the extreme value distributions
goats
Zoometric measurements of goats
ig.fit
Fitting the Inverse Gaussian distribution to data
cauchy.test
Test for the Cauchy distribution
laplace.test
Tests for the Laplace or double exponential distribution
o3
Ozone concentrations over 0.165 ppm
strength
Compressive strength of maize seeds
o3max
Monthly maximum ozone concentrations
weibull.test
Test for the Weibull distribution
ig.test
Tests for the Inverse Gaussian distribution
mvShapiro.Test
Shapiro-Wilk test for multivariate normality
normal.test
Test for normality
lnorm.test
Test for the lognormal distribution