fit_dist_test {EnviroPRA2}

Summary of Godness-of-fit tests

Description

Returns a data frame with the summary of Fiting distribution tests for the following distributions: "normal","log-normal","geometric","exponential","Poisson", "cauchy" , "logistic" and "weibull".

The considered Godness-of-fit tests are: Bayesian Information Criterium (BIC), Akaike Information Criterium (AIC), Kolmogorov-Smirnov test and Anderson-Darling test.

Usage

fit_dist_test(x)

Arguments

x

A numeric vector of length at least one containing only finite values

Value

Distribution

Name of the tested distribution

BayesianIC

Bayesian Information Criterium (BIC)

AkaikeIC

Akaike Information Criterium (AIC)

Kol-SmirD

The value of the Kolmogorov-Smirnov test statistic

Kol-SmirPvalue

The value of the Kolmogorov-Smirnov test p-value

Signigicance KS

A column to check the significance of the Kolmogorov-Smirnov test

And-Darl

The value of the nderson-Darling test statistic

And-DarlPvalue

The value of the Anderson-Darling test p-value

Signigicance AD

A column to check the significance of the Anderson-Darling test

Author(s)

F. Barrio-Parra

See Also

ad.test library(kSamples), AIC library(stats), BIC library(stats), ks.test library(stats),

Examples

set.seed(123)

a <- rnorm(n=100, mean =10, sd = 1) 

fit_dist_test(a)

b<- rexp(n = 100,rate = 1)

fit_dist_test(b)