Package: KMT 1.0.1

KMT: Khmaladze Martingale Transformation Goodness-of-Fit Test

Consider a goodness-of-fit 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 proposed by Khmaladze (1981) <doi:10.1137/1126027> provides asymptotic distribution free test. This package provides test statistic and critical value of the test for normal, Cauchy, and logistic distributions. This package used the main algorithm proposed by Kim (2020) <doi:10.1007/s00180-020-00971-7> and tests for other distributions will be available at the later version.

Authors:Jiwoong Kim [aut, cre]

KMT_1.0.1.tar.gz
KMT_1.0.1.zip(r-4.7)KMT_1.0.1.zip(r-4.6)KMT_1.0.1.zip(r-4.5)
KMT_1.0.1.tgz(r-4.6-x86_64)KMT_1.0.1.tgz(r-4.6-arm64)KMT_1.0.1.tgz(r-4.5-x86_64)KMT_1.0.1.tgz(r-4.5-arm64)
KMT_1.0.1.tar.gz(r-4.7-arm64)KMT_1.0.1.tar.gz(r-4.7-x86_64)KMT_1.0.1.tar.gz(r-4.6-arm64)KMT_1.0.1.tar.gz(r-4.6-x86_64)
KMT_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
KMT/json (API)

# Install 'KMT' in R:
install.packages('KMT', repos = c('https://jwboys26.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jwboys26/kmt/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

2.48 score 212 downloads 7 exports 30 dependencies

Last updated from:5f92471985. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE160
linux-devel-x86_64NOTE137
source / vignettesOK180
linux-release-arm64NOTE148
linux-release-x86_64NOTE146
macos-release-arm64NOTE130
macos-release-x86_64NOTE226
macos-oldrel-arm64NOTE111
macos-oldrel-x86_64NOTE314
windows-develNOTE122
windows-releaseNOTE135
windows-oldrelNOTE150
wasm-releaseOK129

Exports:ADBMCvMDistr_InformationDrawUnzKSRun_KMT

Dependencies:clicodetoolscpp11digestfarverfuturefuture.applyggplot2globalsgluegtablegumbelisobandlabelinglifecyclelistenvnumDerivparallellyR6RColorBrewerRcppRcppArmadillorlangRsolnpS7scalestruncnormvctrsviridisLitewithr