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MarginalMaxTest: Max-Type Test for Marginal Correlation with Bootstrap (original) (raw)

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>.

Version: 1.0.1
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2025-04-23
DOI: 10.32614/CRAN.package.MarginalMaxTest
Author: Canyi Chen ORCID iD [aut, cre, cph]
Maintainer: Canyi Chen <cychen.stats at outlook.com>
BugReports: https://github.com/canyi-chen/MarginalMaxTest/issues
License: MIT + file
URL: https://github.com/canyi-chen/MarginalMaxTest
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: MarginalMaxTest results

Documentation:

Reference manual: MarginalMaxTest.html , <MarginalMaxTest.pdf>

Downloads:

Package source: MarginalMaxTest_1.0.1.tar.gz
Windows binaries: r-devel: MarginalMaxTest_1.0.1.zip, r-release: MarginalMaxTest_1.0.1.zip, r-oldrel: MarginalMaxTest_1.0.1.zip
macOS binaries: r-release (arm64): MarginalMaxTest_1.0.1.tgz, r-oldrel (arm64): MarginalMaxTest_1.0.1.tgz, r-release (x86_64): MarginalMaxTest_1.0.1.tgz, r-oldrel (x86_64): MarginalMaxTest_1.0.1.tgz

Linking:

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