The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
Version: | 1.0.7 |
Depends: | R (≥ 3.5.0) |
Suggests: | knitr, rmarkdown, testthat, betaDelta |
Published: | 2024-04-14 |
DOI: | 10.32614/CRAN.package.betaSandwich |
Author: | Ivan Jacob Agaloos Pesigan [aut, cre, cph] |
Maintainer: | Ivan Jacob Agaloos Pesigan <r.jeksterslab at gmail.com> |
BugReports: | https://github.com/jeksterslab/betaSandwich/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jeksterslab/betaSandwich, https://jeksterslab.github.io/betaSandwich/ |
NeedsCompilation: | no |
Citation: | betaSandwich citation info |
Materials: | NEWS |
CRAN checks: | betaSandwich results |
Reference manual: | betaSandwich.pdf |
Package source: | betaSandwich_1.0.7.tar.gz |
Windows binaries: | r-devel: betaSandwich_1.0.7.zip, r-release: betaSandwich_1.0.7.zip, r-oldrel: betaSandwich_1.0.7.zip |
macOS binaries: | r-release (arm64): betaSandwich_1.0.7.tgz, r-oldrel (arm64): betaSandwich_1.0.7.tgz, r-release (x86_64): betaSandwich_1.0.7.tgz, r-oldrel (x86_64): betaSandwich_1.0.7.tgz |
Old sources: | betaSandwich archive |
Reverse suggests: | betaDelta |
Please use the canonical form https://CRAN.R-project.org/package=betaSandwich to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.