Package: GofKmt 2.2.0

Jiwoong Kim

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 - which was proposed by Khmaladze (1981) <doi:10.1137/1126027> - 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, 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 <jwboys26 at gmail.com>

GofKmt_2.2.0.tar.gz
GofKmt_2.2.0.tar.gz(r-4.5-noble)GofKmt_2.2.0.tar.gz(r-4.4-noble)
GofKmt_2.2.0.tgz(r-4.4-emscripten)GofKmt_2.2.0.tgz(r-4.3-emscripten)
GofKmt.pdf |GofKmt.html
GofKmt/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • Tables - Tables of integrations and critical values

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 1 scripts 172 downloads 2 exports 32 dependencies

Last updated 4 years agofrom:9679ca2cf2. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64NOTENov 25 2024

Exports:GetCVKhmaladzeTrans

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangRsolnpscalestibbletruncnormutf8vctrsviridisLitewithr