betaselectr: Betas-Select in Structural Equation Models and Linear Models

It computes betas-select, coefficients after standardization in structural equation models and regression models, standardizing only selected variables. Supports models with moderation, with product terms formed after standardization. It also offers confidence intervals that account for standardization, including bootstrap confidence intervals as proposed by Cheung et al. (2022) <doi:10.1037/hea0001188>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	boot, stats, lavaan, methods, numDeriv, manymome, pbapply, lavaan.printer
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2024-11-11
DOI:	10.32614/CRAN.package.betaselectr
Author:	Shu Fai Cheung [aut, cre], Rong Wei Sun [aut], Florbela Chang [aut], Wendie Yang [aut], Sing-Hang Cheung [aut]
Maintainer:	Shu Fai Cheung <shufai.cheung at gmail.com>
BugReports:	https://github.com/sfcheung/betaselectr/issues
License:	GPL (≥ 3)
URL:	https://sfcheung.github.io/betaselectr/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	betaselectr results

Documentation:

Reference manual:	betaselectr.pdf
Vignettes:	Beta-Select Demonstration: Logistic Regression by 'glm()' (source) Beta-Select Demonstration: SEM by 'lavaan' (source) Beta-Select Demonstration: Regression by 'lm()' (source)

Downloads:

Package source:	betaselectr_0.1.0.tar.gz
Windows binaries:	r-devel: betaselectr_0.1.0.zip, r-release: betaselectr_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): betaselectr_0.1.0.tgz, r-oldrel (arm64): betaselectr_0.1.0.tgz, r-release (x86_64): betaselectr_0.1.0.tgz, r-oldrel (x86_64): betaselectr_0.1.0.tgz

Linking:

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