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MarginalMaxTest
View on CRAN: Click
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Download and install MarginalMaxTest package within the R console
Install from CRAN:
install.packages("MarginalMaxTest")
Install from Github:
library("remotes")
install_github("cran/MarginalMaxTest") Install by package version:
library("remotes")
install_version("MarginalMaxTest", "1.0.1") Attach the package and use:
library("MarginalMaxTest")
Maintained by
Canyi Chen
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[Scholar Profile | Author Map]
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First Published: 2025-04-23
Latest Update: 2025-04-23
Description:
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>.
How to cite:
Canyi Chen (2025). MarginalMaxTest: Max-Type Test for Marginal Correlation with Bootstrap. R package version 1.0.1, https://cran.r-project.org/web/packages/MarginalMaxTest. Accessed 14 Mar. 2026.
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