Package: betaselectr 0.1.0
Shu Fai Cheung
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>.
Authors:
betaselectr_0.1.0.tar.gz
betaselectr_0.1.0.tar.gz(r-4.5-noble)betaselectr_0.1.0.tar.gz(r-4.4-noble)
betaselectr_0.1.0.tgz(r-4.4-emscripten)betaselectr_0.1.0.tgz(r-4.3-emscripten)
betaselectr.pdf |betaselectr.html✨
betaselectr/json (API)
NEWS
| # Install 'betaselectr' in R: |
| install.packages('betaselectr', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/sfcheung/betaselectr/issues0 issues
Pkgdown site:https://sfcheung.github.io
- data_test_medmod - Test Dataset with Moderator and Mediator
- data_test_mod_cat - Test Dataset with Moderator and Categorical Variables
- data_test_mod_cat2 - Test Dataset with Moderator and Categorical Variables
- data_test_mod_cat_binary - Test Dataset with a Binary Outcome Variable
Last updated 5 months agofrom:ad8b869da8. Checks:2 OK, 1 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-linux | OK | Mar 12 2025 |
| R-4.4-linux | NOTE | Mar 12 2025 |
Exports:glm_betaselectlav_betaselectlm_betaselectraw_outputstd_data
Dependencies:bootclicolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelavaanlavaan.printerlifecyclemagrittrmanymomeMASSMatrixmgcvmnormtmunsellnlmenumDerivpbapplypbivnormpillarpkgconfigquadprogR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Beta-Select Demonstration: Logistic Regression by glm()
Rendered frombetaselectr_glm.Rmdusingknitr::rmarkdownon Mar 12 2025.Last update: 2024-11-11
Started: 2024-11-11
Beta-Select Demonstration: Regression by lm()
Rendered frombetaselectr_lm.Rmdusingknitr::rmarkdownon Mar 12 2025.Last update: 2024-11-11
Started: 2024-11-11
Beta-Select Demonstration: SEM by 'lavaan'
Rendered frombetaselectr_lav.Rmdusingknitr::rmarkdownon Mar 12 2025.Last update: 2024-11-11
Started: 2024-11-11
Citation
To cite package ‘betaselectr’ in publications use:
Cheung S, Sun R, Chang F, Yang W, Cheung S (2024). betaselectr: Betas-Select in Structural Equation Models and Linear Models. R package version 0.1.0, https://CRAN.R-project.org/package=betaselectr.
Corresponding BibTeX entry:
@Manual{,
title = {betaselectr: Betas-Select in Structural Equation Models
and Linear Models},
author = {Shu Fai Cheung and Rong Wei Sun and Florbela Chang and
Wendie Yang and Sing-Hang Cheung},
year = {2024},
note = {R package version 0.1.0},
url = {https://CRAN.R-project.org/package=betaselectr},
}
Readme and manuals
betaselectr: Do Selective Standardization in Structural Equation Models and Regression Models
(Version 0.1.0, updated on 2024-11-08, release history)
It computes betas-select, coefficients (betas) after standardization in structural equation models and regression models with only selected variables standardized. It supports models with moderation, with product terms formed appropriately (formed after standardization). It can also form confidence intervals that takes into account the standardization appropriately.
For more information on this package, please visit its GitHub page:
https://sfcheung.github.io/betaselectr/
Installation
The latest developmental version of this
package can be installed by remotes::install_github:
remotes::install_github("sfcheung/betaselectr")
Issues
If you have any suggestions and found any bugs, please feel feel to open a GitHub issue. Thanks.
