Package: reverseR 0.2

reverseR: Linear Regression Stability to Significance Reversal

Tests linear regressions for significance reversal through leave-one(multiple)-out.

Authors:Andrej-Nikolai Spiess [aut, cre], Michal Burdukiewicz [aut], Stefan Roediger [aut]

reverseR_0.2.tar.gz
reverseR_0.2.zip(r-4.7-any)reverseR_0.2.zip(r-4.6-any)reverseR_0.2.zip(r-4.5-any)
reverseR_0.2.tgz(r-4.6-any)reverseR_0.2.tgz(r-4.5-any)
reverseR_0.2.tar.gz(r-4.7-any)reverseR_0.2.tar.gz(r-4.6-any)
reverseR_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
reverseR/json (API)

# Install 'reverseR' in R:

install.packages('reverseR', repos = c('https://anspiess.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anspiess/reverser/issues

Datasets:

PNAS2015 - Small dataset from a 2015 PNAS paper

On CRAN:

3.48 score 3 stars 236 downloads 9 exports 139 dependencies

Last updated from:dd11442d0c. Checks:9 OK. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel-x86_64	OK	181
source / vignettes	OK	215
linux-release-x86_64	OK	189
macos-release-arm64	OK	98
macos-oldrel-arm64	OK	86
windows-devel	OK	111
windows-release	OK	92
windows-oldrel	OK	93
wasm-release	OK	178

Exports:bootLM inflPlot jackLM lmExact lmInfl pcomp pvalPlot regionInfl rpLM

Dependencies:abind askpass backports base64enc bigD bitops boot boot.pval broom bslib cachem car carData checkmate cli cluster codetools colorspace commonmark cowplot cpp11 curl data.table DEoptimR Deriv digest doBy dplyr evaluate farver fastmap fastmatrix flextable fontawesome fontBitstreamVera fontLiberation fontquiver forecast foreign Formula fracdiff fs gdtools generics ggplot2 glue gridExtra gt gtable highr Hmisc htmlTable htmltools htmlwidgets isoband isotree jquerylib jsonlite juicyjuice knitr L1pack labeling lattice lifecycle litedown lme4 lmtest magrittr markdown MASS Matrix MatrixModels memoise mgcv mime minqa modelr multcomp mvtnorm nlme nloptr nnet numDeriv officer openssl pbkrtest pillar pkgconfig polspline purrr quantreg R6 ragg rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reactable reactR reformulas RhpcBLASctl rlang rmarkdown rms robustbase rpart rstudioapi S7 sandwich sass scales SparseM stringi stringr survival sys systemfonts textshaping TH.data tibble tidyr tidyselect timeDate tinytex urca utf8 uuid V8 vctrs viridisLite withr xfun xml2 yaml zip zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Nonparametric/Parametric bootstrap linear model	bootLM
Two diagnostic plots for checking p-value influencers	inflPlot pvalPlot
Jackknife linear model	jackLM
Create random values that deliver linear regressions with exact parameters	lmExact
Checks and analyzes leave-one-out (LOO) p-values and a variety of influence measures in linear regression	lmInfl
Calculates linear regression p-values from a variety of robust regression methods	pcomp
Small dataset from a 2015 PNAS paper	PNAS2015
Identify regions of significance reversal and influence measure threshold	regionInfl
Calculates the 'replication probability of significance' of an 'lm' object	rpLM

Usage by other packages (reverse dependencies)