Package: MarginalMaxTest 1.0.1

MarginalMaxTest: Max-Type Test for Marginal Correlation with Bootstrap

Test the marginal correlation between a scalar response variable with a vector of explanatory variables using the max-type test with bootstrap. The test is based on the max-type statistic and its asymptotic distribution under the null hypothesis of no marginal correlation. The bootstrap procedure is used to approximate the null distribution of the test statistic. The package provides a function for performing the test. For more technical details, refer to Zhang and Laber (2014) <doi:10.1080/01621459.2015.1106403>.

Authors:Canyi Chen [aut, cre, cph]

MarginalMaxTest_1.0.1.tar.gz
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MarginalMaxTest_1.0.1.tgz(r-4.6-x86_64)MarginalMaxTest_1.0.1.tgz(r-4.6-arm64)MarginalMaxTest_1.0.1.tgz(r-4.5-x86_64)MarginalMaxTest_1.0.1.tgz(r-4.5-arm64)
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MarginalMaxTest_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MarginalMaxTest/json (API)

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

Bug tracker:https://github.com/canyi-chen/marginalmaxtest/issues

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

On CRAN:

Conda:

openblascppopenmp

2.70 score 2 scripts 157 downloads 1 exports 2 dependencies

Last updated from:5aaec00b2f. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK119
linux-devel-x86_64OK106
source / vignettesOK160
linux-release-arm64OK110
linux-release-x86_64OK106
macos-release-arm64OK78
macos-release-x86_64OK244
macos-oldrel-arm64OK95
macos-oldrel-x86_64OK252
windows-develOK115
windows-releaseOK94
windows-oldrelOK85
wasm-releaseOK119

Exports:marginal.test

Dependencies:RcppRcppArmadillo