Package: reverseR
Type: Package
LazyLoad: no
LazyData: yes
Title: Linear Regression Stability to Significance Reversal
Version: 0.1
Date: 2019-04-18
Author: Andrej-Nikolai Spiess <a.spiess@uke.uni-hamburg.de>
        Michal Burdukiewicz <michalburdukiewicz@gmail.com>  
        Stefan Roediger <stefan.roediger@b-tu.de>
Maintainer: Andrej-Nikolai Spiess <a.spiess@uke.uni-hamburg.de>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 2.13.0), shiny, markdown, knitr
Imports: DT
NeedsCompilation: no
Packaged: 2019-04-18 16:21:57 UTC; anspiess
Repository: CRAN
Date/Publication: 2019-04-24 15:40:03 UTC
Built: R 4.0.2; ; 2020-07-16 20:11:37 UTC; unix
