Package: betaSandwich 1.0.9.9001

betaSandwich: Robust Confidence Intervals for Standardized Regression Coefficients

Generates robust confidence intervals for standardized regression coefficients using heteroskedasticity-consistent standard errors for models fitted by lm() as described in Dudgeon (2017) <doi:10.1007/s11336-017-9563-z>. The package can also be used to generate confidence intervals for R-squared, adjusted R-squared, and differences of standardized regression coefficients. A description of the package and code examples are presented in Pesigan, Sun, and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.

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

betaSandwich_1.0.9.9001.tar.gz
betaSandwich_1.0.9.9001.zip(r-4.7-any)betaSandwich_1.0.9.9001.zip(r-4.6-any)betaSandwich_1.0.9.9001.zip(r-4.5-any)
betaSandwich_1.0.9.9001.tgz(r-4.6-any)betaSandwich_1.0.9.9001.tgz(r-4.5-any)
betaSandwich_1.0.9.9001.tar.gz(r-4.7-any)betaSandwich_1.0.9.9001.tar.gz(r-4.6-any)
betaSandwich_1.0.9.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
betaSandwich/json (API)

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

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

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

Datasets:
  • nas1982 - 1982 National Academy of Sciences Doctoral Programs Data

On CRAN:

Conda:

confidence-intervalsheteroskedasticity-consistent-standard-errorsstandardized-regression-coefficients

3.56 score 18 scripts 981 downloads 10 exports 0 dependencies

Last updated from:1a570899f2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK109
source / vignettesOK193
linux-releaseOK121
macos-releaseOK96
macos-oldrelOK109
windows-develOK153
windows-releaseOK135
windows-oldrelOK122
wasm-releaseOK77

Exports:BetaADFBetaHCBetaNDeltaRSqSandwichDiffBetaSandwichFSqSandwichPCorSandwichRSqSandwichSCorSandwichSCorSqSandwich

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Estimate Standardized Regression Coefficients and the Corresponding Sampling Covariance Matrix Using the Asymptotic Distribution-Free ApproachBetaADF
Estimate Standardized Regression Coefficients and the Corresponding Robust Sampling Covariance Matrix Using the Heteroskedasticity Consistent ApproachBetaHC
Estimate Standardized Regression Coefficients and the Corresponding Sampling Covariance Matrix Assuming Multivariate NormalityBetaN
Standardized Regression Slopescoef.betasandwich
Estimates for an Object of Class 'essandwich'coef.essandwich
Confidence Intervals for Standardized Regression Slopesconfint.betasandwich
Confidence Intervals for an Object of Class 'essandwich'confint.essandwich
Estimate Improvement in R-Squared and the Corresponding Sampling Covariance MatrixDeltaRSqSandwich
Estimate Differences of Standardized Slopes and the Corresponding Sampling Covariance MatrixDiffBetaSandwich
Estimate Cohen's f-Squared and Local f-Squared and the Corresponding Sampling Covariance MatrixFSqSandwich
1982 National Academy of Sciences Doctoral Programs Datanas1982
Estimate Squared Partial Correlation Coefficients and the Corresponding Sampling Covariance MatrixPCorSandwich
Print Method for an Object of Class 'betasandwich'print.betasandwich
Print Method for an Object of Class 'essandwich'print.essandwich
Print Method for an Object of Class 'summary.essandwich'print.summary.essandwich
Estimate R-Squared and Adjusted R-Squared and the Corresponding Sampling Covariance MatrixRSqSandwich
Estimate Semipartial Correlation Coefficients and the Corresponding Sampling Covariance MatrixSCorSandwich
Squared Signed-Semipartial Confidence IntervalsSCorSqSandwich
Summary Method for an Object of Class 'betasandwich'summary.betasandwich
Summary Method for an Object of Class 'essandwich'summary.essandwich
Sampling Covariance Matrix of the Standardized Regression Slopesvcov.betasandwich
Sampling Covariance Matrix for an Object of Class 'essandwich'vcov.essandwich