Package: BetterReg 0.3.0

BetterReg: Better Statistics for OLS and Binomial Logistic Regression

Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022) <doi:10.31234/osf.io/s2yqn>.

Authors:Chris Aberson

BetterReg_0.3.0.tar.gz
BetterReg_0.3.0.zip(r-4.7)BetterReg_0.3.0.zip(r-4.6)BetterReg_0.3.0.zip(r-4.5)
BetterReg_0.3.0.tgz(r-4.6-any)BetterReg_0.3.0.tgz(r-4.5-any)
BetterReg_0.3.0.tar.gz(r-4.7-any)BetterReg_0.3.0.tar.gz(r-4.6-any)
BetterReg_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BetterReg/json (API)

# Install 'BetterReg' in R:

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

Bug tracker:https://github.com/chrisaberson/betterreg/issues

Datasets:

testlog - Testlog
testreg - Testreg

On CRAN:

2.70 score 1 stars 4 scripts 264 downloads 8 exports 69 dependencies

Last updated from:bacaef1fcf. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	123
source / vignettes	OK	182
linux-release-x86_64	NOTE	137
macos-release-arm64	NOTE	162
macos-oldrel-arm64	NOTE	128
windows-devel	NOTE	77
windows-release	NOTE	69
windows-oldrel	NOTE	73
wasm-release	OK	110

Exports:depbcomp indbcomp LRchi Mahal parts pseudo R2change tolerance

Dependencies:abind backports boot broom car carData cli colorspace cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Power for Comparing Dependent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)	depbcomp
Comparing Independent Coefficients in Multiple Regression	indbcomp
Compute Likelihood Ratio Chi-square for Binomial Logistic Regression with up to 10 predictors	LRchi
Compute Mahalanobis Distance for Multiple Regression	Mahal
Compute squared semi partial correlatoins for Multiple Regression	parts
Pseudo R-square Values for Binomial Logistic Regression	pseudo
R-square change for Hierarchical Multiple Regression	R2change
testlog	testlog
testreg	testreg
Compute tolerance for Multiple Regression	tolerance