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lmhelprs: Helper Functions for Linear Model Analysis

A collection of helper functions for multiple regression models fitted by lm(). Most of them are simple functions for simple tasks which can be done with coding, but may not be easy for occasional users of R. Most of the tasks addressed are those sometimes needed when using the 'manymome' package (Cheung and Cheung, 2023, <doi:10.3758/s13428-023-02224-z>) and 'stdmod' package (Cheung, Cheung, Lau, Hui, and Vong, 2022, <doi:10.1037/hea0001188>). However, they can also be used in other scenarios.

Version: 0.4.0
Depends: R (≥ 2.10)
Imports: stats
Suggests: knitr, rmarkdown, tinytest, semPlot
Published: 2024-10-15
DOI: 10.32614/CRAN.package.lmhelprs
Author: Shu Fai Cheung ORCID iD [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung at gmail.com>
BugReports: https://github.com/sfcheung/lmhelprs/issues
License: GPL (≥ 3)
URL: https://sfcheung.github.io/lmhelprs/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: lmhelprs results

Documentation:

Reference manual: lmhelprs.pdf
Vignettes: lmhelprs (source, R code)

Downloads:

Package source: lmhelprs_0.4.0.tar.gz
Windows binaries: r-devel: lmhelprs_0.4.0.zip, r-release: lmhelprs_0.4.0.zip, r-oldrel: lmhelprs_0.4.0.zip
macOS binaries: r-release (arm64): lmhelprs_0.4.0.tgz, r-oldrel (arm64): lmhelprs_0.4.0.tgz, r-release (x86_64): lmhelprs_0.4.0.tgz, r-oldrel (x86_64): lmhelprs_0.4.0.tgz
Old sources: lmhelprs archive

Linking:

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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.