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.

Version: 0.1
Depends: R (≥ 2.13.0), shiny, markdown, knitr
Imports: DT
Published: 2019-04-24
Author: Andrej-Nikolai Spiess Michal Burdukiewicz Stefan Roediger
Maintainer: Andrej-Nikolai Spiess <a.spiess at uke.uni-hamburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: reverseR results

Downloads:

Reference manual: reverseR.pdf
Package source: reverseR_0.1.tar.gz
Windows binaries: r-devel: reverseR_0.1.zip, r-devel-gcc8: reverseR_0.1.zip, r-release: reverseR_0.1.zip, r-oldrel: reverseR_0.1.zip
OS X binaries: r-release: reverseR_0.1.tgz, r-oldrel: reverseR_0.1.tgz

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