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lm()
(Version 0.4.0, updated on 2024-10-15, 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/
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")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.
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.
If you have any suggestions and found any bugs, please feel feel to open a GitHub issue. Thanks.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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