reverseR: Linear Regression Stability to Significance Reversal

Tests linear regressions for significance reversal through leave-one(multiple)-out and shifting/addition of response values. The paradigm of the package is loosely based on the somewhat forgotten "dfstat" criterion (Belsley, Kuh & Welsch 1980 <doi:10.1002/0471725153.ch2>), which tests influential values in linear models from their effect on statistical inference, i.e. changes in p-value.

Getting started

Package details

AuthorAndrej-Nikolai Spiess <a.spiess@uke.uni-hamburg.de> Michal Burdukiewicz <michalburdukiewicz@gmail.com> Stefan Roediger <stefan.roediger@b-tu.de>
MaintainerAndrej-Nikolai Spiess <a.spiess@uke.uni-hamburg.de>
LicenseGPL (>= 2)
Version0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("reverseR")

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reverseR documentation built on May 2, 2019, 10:59 a.m.