The R Journal: article published in 2011, volume 3:2

Nonparametric Goodness-of-Fit Tests for Discrete Null Distributions PDF download
Taylor B. Arnold and John W. Emerson , The R Journal (2011) 3:2, pages 34-39.

Abstract Methodology extending nonparametric goodness-of-fit tests to discrete null distributions has existed for several decades. However, modern statistical software has generally failed to provide this methodology to users. We offer a revision of R’s ks.test() function and a new cvm.test() function that fill this need in the R language for two of the most popular nonparametric goodness-of-fit tests. This paper describes these contributions and provides examples of their usage. Particular attention is given to various numerical issues that arise in their implementation.


CRAN packages: dgof, nortest, ADGofTest, CvM2SL1Test, CvM2SL2Test, cramer , CRAN Task Views implied by cited CRAN packages: Multivariate


CC BY
This article is licensed under a Creative Commons Attribution 3.0 Unported license.

@article{RJ-2011-016,
  author = {Taylor B. Arnold and John W. Emerson},
  title = {{Nonparametric Goodness-of-Fit Tests for Discrete Null
          Distributions}},
  year = {2011},
  journal = {{The R Journal}},
  url = {https://journal.r-project.org/archive/2011/RJ-2011-016/index.html},
  pages = {34--39},
  volume = {3},
  number = {2}
}