Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords
Repository
Functions related to standardized moderation effect
Basic Info
- Host: GitHub
- Owner: sfcheung
- License: gpl-3.0
- Language: R
- Default Branch: master
- Homepage: https://sfcheung.github.io/stdmod/
- Size: 26.1 MB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 11
Topics
Metadata Files
README.md
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stdmod: Standardized Moderation 
(Version 0.2.11, updated on 2024-09-22, release history)
(Important changes since 0.2.0.0: Bootstrap confidence intervals and
variance-covariance matrix of estimates are the defaults of confint()
and vcov() for the output of std_selected_boot().)
This package includes functions for computing a standardized
moderation effect and forming its confidence interval by
nonparametric bootstrapping correctly. It was described briefly
in the following publication (OSF project page).
It supports moderated regression conducted by stats::lm() and path
analysis with product term conducted by lavaan::lavaan().
- Cheung, S. F., Cheung, S.-H., Lau, E. Y. Y., Hui, C. H., & Vong, W. N. (2022) Improving an old way to measure moderation effect in standardized units. Health Psychology, 41(7), 502-505. https://doi.org/10.1037/hea0001188.
More information on this package:
https://sfcheung.github.io/stdmod/
Quick Links:
stdmod: A quick start on how to use
std_selected()andstd_selected_boot(), the two main functions, to standardize selected variables in a regression model and refit the model.moderation: How to use
std_selected()andstd_selected_boot()to compute standardized moderation effect and form its nonparametric bootstrap confidence interval.std_selected: How to use
std_selected()to mean center or standardize selected variables in any regression models, and usestd_selected_boot()to form nonparametric bootstrap confidence intervals for standardized regression coefficients (betas in psychology literature).plotmod: How to generate a typical plot of moderation effect using
plotmod().cond_effect: How to compute conditional effects of the predictor for selected levels of the moderator, and form nonparametric bootstrap confidence intervals these effects.
Installation
The stable CRAN version can be installed by install.packages():
install.packages("stdmod")
The latest version of this package at GitHub can be
installed by remotes::install_github():
remotes::install_github("sfcheung/stdmod")
Implementation
The main function, std_selected(), accepts an lm()
output, standardizes variables by users, and update the
results. If interaction terms are present, they will be
formed after the standardization. If bootstrap
confidence intervals are requested using
std_selected_boot(), both standardization
and regression will be repeated in each bootstrap sample,
ensuring that the sampling variability of the standardizers
(e.g., the standard deviations of the selected variables),
are also taken into account.
Issues
If you have any suggestions and found any bugs, please feel feel to open a GitHub issue. Thanks.
Owner
- Name: Shu Fai Cheung
- Login: sfcheung
- Kind: user
- Location: Macao
- Company: University of Macau
- Website: https://blogonresearch.github.io/
- Repositories: 36
- Profile: https://github.com/sfcheung
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 322
- Total Committers: 2
- Avg Commits per committer: 161.0
- Development Distribution Score (DDS): 0.019
Top Committers
| Name | Commits | |
|---|---|---|
| Shu Fai Cheung | s****g@g****m | 316 |
| Ckwvong | 7****g@u****m | 6 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 35
- Total pull requests: 83
- Average time to close issues: 6 months
- Average time to close pull requests: about 2 hours
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 0.49
- Average comments per pull request: 0.0
- Merged pull requests: 82
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 24 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- sfcheung (35)
Pull Request Authors
- sfcheung (86)
- Ckwvong (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 382 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 10
- Total maintainers: 1
cran.r-project.org: stdmod
Standardized Moderation Effect and Its Confidence Interval
- Homepage: https://sfcheung.github.io/stdmod/
- Documentation: http://cran.r-project.org/web/packages/stdmod/stdmod.pdf
- License: GPL-3
-
Latest release: 0.2.11
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 4.0.0 depends
- boot * imports
- ggplot2 * imports
- stats * imports
- dplyr * suggests
- knitr * suggests
- lavaan * suggests
- lm.beta * suggests
- rmarkdown * suggests
- testthat * suggests
- visreg * suggests
- actions/checkout v2 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- r-lib/actions/setup-r-dependencies v1 composite