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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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