fitur 0.6.0 Release

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  • Adding continuous distribution testing functions Kolmogorov-Smirnov, Anderson-Darling, and Cramer-Von Mises

  • S3 methods have now been added for distfit objects

  • Code reformatting and cleanup

fitur on CRAN

Continuous Distribution GOF Tests

library(fitur)
x <- rgamma(100, 1, 1)
fit <- fit_univariate(x, 'gamma')
ks_test(fit, x)

## 
##  One-sample Kolmogorov-Smirnov test
## 
## data:  x
## D = 0.082165, p-value = 0.5093
## alternative hypothesis: two-sided

ad_test(fit, x)

## 
##  Anderson-Darling test of goodness-of-fit
##  Null hypothesis: distribution 'distfun[[2]]'
## 
## data:  x
## An = 0.49058, p-value = 0.756

cvm_test(fit, x)

## 
##  Cramer-von Mises test of goodness-of-fit
##  Null hypothesis: distribution 'distfun[[2]]'
## 
## data:  x
## omega2 = 0.079325, p-value = 0.6968

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