https://github.com/sfcheung/betaselectr
Do selective standardization in structural equation models and regression models
https://github.com/sfcheung/betaselectr
bootstrapping confidence-intervals generalized-linear-models lavaan logistic-regression r regression sem standardization structural-equation-modeling
Last synced: about 1 year ago
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Do selective standardization in structural equation models and regression models
- Host: GitHub
- URL: https://github.com/sfcheung/betaselectr
- Owner: sfcheung
- License: gpl-3.0
- Created: 2024-06-01T10:45:13.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-14T14:08:50.000Z (over 1 year ago)
- Last Synced: 2025-03-22T21:37:22.684Z (about 1 year ago)
- Topics: bootstrapping, confidence-intervals, generalized-linear-models, lavaan, logistic-regression, r, regression, sem, standardization, structural-equation-modeling
- Language: R
- Homepage: https://sfcheung.github.io/betaselectr/
- Size: 5.19 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
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# betaselectr: Do Selective Standardization in Structural Equation Models and Regression Models
(Version 0.1.0, updated on 2024-11-08, [release history](https://sfcheung.github.io/betaselectr/news/index.html))
It computes *beta*s-select, coefficients
(*beta*s) after standardization
in structural equation models and
regression models with only
*select*ed 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`:
```r
remotes::install_github("sfcheung/betaselectr")
```
# Issues
If you have any suggestions and found
any bugs, please feel feel to open a
GitHub issue. Thanks.
https://github.com/sfcheung/betaselectr/issues