Package: combinIT 2.0.1

combinIT: A Combined Interaction Test for Unreplicated Two-Way Tables

There are several non-functional-form-based interaction tests for testing interaction in unreplicated two-way layouts. However, no single test can detect all patterns of possible interaction and the tests are sensitive to a particular pattern of interaction. This package combines six non-functional-form-based interaction tests for testing additivity. These six tests were proposed by Boik (1993) <doi:10.1080/02664769300000004>, Piepho (1994), Kharrati-Kopaei and Sadooghi-Alvandi (2007) <doi:10.1080/03610920701386851>, Franck et al. (2013) <doi:10.1016/j.csda.2013.05.002>, Malik et al. (2016) <doi:10.1080/03610918.2013.870196> and Kharrati-Kopaei and Miller (2016) <doi:10.1080/00949655.2015.1057821>. The p-values of these six tests are combined by Bonferroni, Sidak, Jacobi polynomial expansion, and the Gaussian copula methods to provide researchers with a testing approach which leverages many existing methods to detect disparate forms of non-additivity. This package is based on the following published paper: Shenavari and Kharrati-Kopaei (2018) "A Method for Testing Additivity in Unreplicated Two-Way Layouts Based on Combining Multiple Interaction Tests". In addition, several sentences in help files or descriptions were copied from that paper.

Authors:Zahra Shenavari [aut], Hossein Haghbin [aut, cre], Mahmood Kharrati-Kopaei [aut], Seyed Morteza Najibi [aut]

combinIT_2.0.1.tar.gz
combinIT_2.0.1.zip(r-4.7)combinIT_2.0.1.zip(r-4.6)combinIT_2.0.1.zip(r-4.5)
combinIT_2.0.1.tgz(r-4.6-x86_64)combinIT_2.0.1.tgz(r-4.6-arm64)combinIT_2.0.1.tgz(r-4.5-x86_64)combinIT_2.0.1.tgz(r-4.5-arm64)
combinIT_2.0.1.tar.gz(r-4.7-arm64)combinIT_2.0.1.tar.gz(r-4.7-x86_64)combinIT_2.0.1.tar.gz(r-4.6-arm64)combinIT_2.0.1.tar.gz(r-4.6-x86_64)
combinIT_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
combinIT/json (API)
NEWS

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

Bug tracker:https://github.com/haghbinh/combinit/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • CNV - Copy number variation (CNV).
  • IDCP - Impurity data in a chemical product (IDCP).
  • MVGH - The mean values of growth hormone (MVGH).
  • RDWW - Ratio of dry to wet wheat (RDWW).

On CRAN:

Conda:

openblascppopenmp

3.00 score 6 scripts 279 downloads 8 exports 3 dependencies

Last updated from:a7f3fc7726. Checks:12 OK, 1 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK134
source / vignettesOK143
linux-release-arm64ERROR135
linux-release-x86_64OK126
macos-release-arm64OK125
macos-release-x86_64OK236
macos-oldrel-arm64OK90
macos-oldrel-x86_64OK173
windows-develOK102
windows-releaseOK127
windows-oldrelOK170
wasm-releaseOK110

Exports:Boik_testCI_testFranck_testinteraction_plotKKM_testKKSA_testMalik_testPiepho_test

Dependencies:mvtnormRcppRcppArmadillo