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prototest (version 1.2)

Inference on Prototypes from Clusters of Features

Description

Procedures for testing for group-wide signal in clusters of variables. Tests can be performed for single groups in isolation (univariate) or multiple groups together (multivariate). Specific tests include the exact and approximate (un)selective likelihood ratio tests described in Reid et al (2015), the selective F test and marginal screening prototype test of Reid and Tibshirani (2015). User may pre-specify columns to be included in prototype formation, or allow the function to select them itself. A mixture of these two is also possible. Any variable selection is accounted for using the selective inference framework. Options for non-sampling and hit-and-run null reference distributions.

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Version

Install

install.packages('prototest')

Monthly Downloads

129

Version

1.2

License

GPL (>= 2)

Maintainer

Last Published

February 3rd, 2019

Functions in prototest (1.2)

print.prototest

Print prototest object
prototest-package

Inference on Prototypes from Clusters of Features
prototest.multivariate

Perform Prototype or F tests for Significance of Groups of Predictors in the Multivariate Model
prototest.univariate

Perform Prototype or F Tests for Significance of Groups of Predictors in the Univariate Model