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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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1.3.6
1.3.4
1.3.1
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Install
install.packages('goft')
Monthly Downloads
416
Version
1.3.6
License
GPL (>= 3)
Maintainer
Elizabeth GonzalezEstrada
Last Published
June 25th, 2020
Functions in goft (1.3.6)
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gamma_test
Test for the Gamma distribution
mvshapiro_test
Shapiro-Wilk test for multivariate normality
normal_test
Test for normality
ig_test
Tests for the Inverse Gaussian distribution
weibull_test
Test for the Weibull distribution
sn_test
Test for skew normality
o3
Ozone concentrations over 0.165 ppm
strength
Compressive strength of maize seeds
exp_test
Tests for exponentiality
lnorm_test
Test for the lognormal distribution
o3max
Monthly maximum ozone concentrations
gamma_fit
Fitting the Gamma distribution to data
ev_test
Tests for the extreme value distributions
gp_test
Bootstrap test for the generalized Pareto distribution
goats
Zoometric measurements of goats
gp_fit
Fitting the generalized Pareto distribution to data
ig_fit
Fitting the Inverse Gaussian distribution to data
laplace_test
Tests for the Laplace or double exponential distribution
cauchy_test
Tests for the Cauchy distribution