Helper Functions for Linear Model Analysis.
lmhelprs: A collection of helper functions for some common tasks in fitting linear models, mainly by lm()
(Version 0.3.0, updated on 2024-02-18, release history)
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.
For more information on this package, please visit its GitHub page:
https://sfcheung.github.io/lmhelprs/
Installation
The stable CRAN version can be installed by install.packages():
install.packages("lmhelprs")
The latest developmental version of this package can be installed by remotes::install_github:
remotes::install_github("sfcheung/lmhelprs")
Background
Most of the tasks I covered are those sometimes I needed when using the manymome package (Cheung & Cheung, 2023) and and the stdmod package (Cheung, Cheung, Lau, Hui, and Vong, 2022). Therefore, when ready, these two packages will make use of the functions from lmhelprs. However, most of the functions can also be used in other scenarios. Therefore, I named it lmhelprs.
References
Cheung, S. F., & Cheung, S.-H. (2023). manymome: An R package for computing the indirect effects, conditional effects, and conditional indirect effects, standardized or unstandardized, and their bootstrap confidence intervals, in many (though not all) models. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02224-z
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.
Issues
If you have any suggestions and found any bugs, please feel feel to open a GitHub issue. Thanks.