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 |
| Author: | Canyi Chen  [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 |
Linking:
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