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reverseR  

Linear Regression Stability to Significance Reversal
View on CRAN: Click here


Download and install reverseR package within the R console
Install from CRAN:
install.packages("reverseR")

Install from Github:
library("remotes")
install_github("cran/reverseR")

Install by package version:
library("remotes")
install_version("reverseR", "0.2")



Attach the package and use:
library("reverseR")
Maintained by
Andrej-Nikolai Spiess
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-24
Latest Update: 2019-04-24
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 ), which tests influential values in linear models from their effect on statistical inference, i.e. changes in p-value.
How to cite:
Andrej-Nikolai Spiess (2019). reverseR: Linear Regression Stability to Significance Reversal. R package version 0.2, https://cran.r-project.org/web/packages/reverseR. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1 (2019-04-24 17:40)
Other packages that cited reverseR R package
View reverseR citation profile
Other R packages that reverseR depends, imports, suggests or enhances
Complete documentation for reverseR
Functions, R codes and Examples using the reverseR R package
Some associated functions: lmExact . lmInfl . lmMult . lmPlot . lmThresh . shinyInfl . simInfl . stability . 
Some associated R codes: lmExact.R . lmInfl.R . lmMult.R . lmThresh.R . shinyInfl.R . simInfl.R . stability.R .  Full reverseR package functions and examples
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