Package: betaNB 1.0.7.9001

betaNB: Bootstrap for Regression Effect Sizes

Generates nonparametric bootstrap confidence intervals (Efron and Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression coefficients (beta) and other effect sizes, including multiple correlation, semipartial correlations, improvement in R-squared, squared partial correlations, and differences in standardized regression coefficients, for models fitted by lm().

Authors:Ivan Jacob Agaloos Pesigan [aut, cre, cph]

betaNB_1.0.7.9001.tar.gz
betaNB_1.0.7.9001.zip(r-4.7-x86_64)betaNB_1.0.7.9001.zip(r-4.7-arm64)betaNB_1.0.7.9001.zip(r-4.6-x86_64)betaNB_1.0.7.9001.zip(r-4.6-arm64)betaNB_1.0.7.9001.zip(r-4.5-x86_64)
betaNB_1.0.7.9001.tgz(r-4.6-x86_64)betaNB_1.0.7.9001.tgz(r-4.6-arm64)betaNB_1.0.7.9001.tgz(r-4.5-x86_64)betaNB_1.0.7.9001.tgz(r-4.5-arm64)
betaNB_1.0.7.9001.tar.gz(r-4.7-arm64)betaNB_1.0.7.9001.tar.gz(r-4.7-x86_64)betaNB_1.0.7.9001.tar.gz(r-4.6-arm64)betaNB_1.0.7.9001.tar.gz(r-4.6-x86_64)
betaNB_1.0.7.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
betaNB/json (API)

# Install 'betaNB' in R:
install.packages('betaNB', repos = c('https://jeksterslab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jeksterslab/betanb/issues

Pkgdown/docs site:https://jeksterslab.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • nas1982 - 1982 National Academy of Sciences Doctoral Programs Data

On CRAN:

Conda:

confidence-intervalsnonparametric-bootstrapregression-effect-sizesstandardized-regression-coefficientsopenblascpp

3.43 score 1 stars 18 scripts 980 downloads 9 exports 2 dependencies

Last updated from:bd4f558238. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK147
source / vignettesOK179
linux-release-arm64OK119
linux-release-x86_64OK142
macos-release-arm64OK123
macos-release-x86_64OK238
macos-oldrel-arm64OK133
macos-oldrel-x86_64OK203
windows-devel-arm64OK232
windows-devel-x86_64OK187
windows-release-arm64OK193
windows-release-x86_64OK179
windows-oldrel-x86_64OK171
wasm-releaseOK106

Exports:BetaNBDeltaRSqNBDiffBetaNBFSqNBNBPCorNBRSqNBSCorNBSCorSqNB

Dependencies:RcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Estimate Standardized Regression Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric BootstrappingBetaNB
Estimated Parameter Method for an Object of Class 'betanb'coef.betanb
Confidence Intervals Method for an Object of Class 'betanb'confint.betanb
Estimate Improvement in R-Squared and Generate the Corresponding Sampling Distribution Using Nonparametric BootstrappingDeltaRSqNB
Estimate Differences of Standardized Slopes and Generate the Corresponding Sampling Distribution Using Nonparametric BootstrappingDiffBetaNB
Estimate Cohen's f-Squared and Generate the Corresponding Sampling Distribution Using the Nonparametric BootstrapFSqNB
1982 National Academy of Sciences Doctoral Programs Datanas1982
Generate the Sampling Distribution of Sample Covariances Using Nonparametric BootstrappingNB
Estimate Squared Partial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric BootstrappingPCorNB
Print Method for an Object of Class 'betanb'print.betanb
Print Method for an Object of Class 'nb'print.nb
Estimate Multiple Correlation Coefficients (R-Squared and Adjusted R-Squared) and Generate the Corresponding Sampling Distribution Using Nonparametric BootstrappingRSqNB
Estimate Semipartial Correlation Coefficients and Generate the Corresponding Sampling Distribution Using Nonparametric BootstrappingSCorNB
Squared Signed-Semipartial Confidence IntervalsSCorSqNB
Summary Method for an Object of Class 'betanb'summary.betanb
Sampling Variance-Covariance Matrix Method for an Object of Class 'betanb'vcov.betanb