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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>.

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 LICENSE
URL: https://github.com/canyi-chen/MarginalMaxTest
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: MarginalMaxTest results

Documentation:

Reference manual: MarginalMaxTest.pdf

Downloads:

Package source: MarginalMaxTest_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
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

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.