GofKmt: Khmaladze Martingale Transformation Goodness-of-Fit Test

Consider a goodness-of-fit(GOF) problem of testing whether a random sample comes from one sample location-scale model where location and scale parameters are unknown. It is well known that Khmaladze martingale transformation method provides asymptotic distribution free test for the GOF problem. This package contains one function: KhmaladzeTrans(). In this version, KhmaladzeTrans() provides test statistic and critical value of GOF test for normal, Cauchy, logistic, Gamma, Weibull, Gumbel, and Rayleigh distributions.

Version: 2.0
Depends: R (≥ 3.2.2)
Imports: Rsolnp
Published: 2017-07-08
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <jwboys26 at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: GofKmt results


Reference manual: GofKmt.pdf
Package source: GofKmt_2.0.tar.gz
Windows binaries: r-devel: GofKmt_2.0.zip, r-devel-gcc8: GofKmt_2.0.zip, r-release: GofKmt_2.0.zip, r-oldrel: GofKmt_2.0.zip
OS X binaries: r-release: GofKmt_2.0.tgz, r-oldrel: GofKmt_2.0.tgz
Old sources: GofKmt archive


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