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GRPtests (version 0.1.2)

Goodness-of-Fit Tests in High-Dimensional GLMs

Description

Methodology for testing nonlinearity in the conditional mean function in low- or high-dimensional generalized linear models, and the significance of (potentially large) groups of predictors. Details on the algorithms can be found in the paper by Jankova, Shah, Buehlmann and Samworth (2019) .

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Version

Install

install.packages('GRPtests')

Monthly Downloads

13

Version

0.1.2

License

GPL

Maintainer

Jana Jankova

Last Published

March 18th, 2021

Functions in GRPtests (0.1.2)

GRPtest

Goodness-of-fit test for high-dimensional generalized linear models
GRPgrouptest

Test significance of groups or individual predictors in high-dimensional generalized linear models