Package: lmhelprs 0.4.0

lmhelprs: Helper Functions for Linear Model Analysis

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. Most of the tasks addressed are those sometimes needed when using the 'manymome' package (Cheung and Cheung, 2023, <doi:10.3758/s13428-023-02224-z>) and 'stdmod' package (Cheung, Cheung, Lau, Hui, and Vong, 2022, <doi:10.1037/hea0001188>). However, they can also be used in other scenarios.

Authors:Shu Fai Cheung [aut, cre]

lmhelprs_0.4.0.tar.gz
lmhelprs_0.4.0.zip(r-4.5)lmhelprs_0.4.0.zip(r-4.4)lmhelprs_0.4.0.zip(r-4.3)
lmhelprs_0.4.0.tgz(r-4.4-any)lmhelprs_0.4.0.tgz(r-4.3-any)
lmhelprs_0.4.0.tar.gz(r-4.5-noble)lmhelprs_0.4.0.tar.gz(r-4.4-noble)
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lmhelprs.pdf |lmhelprs.html
lmhelprs/json (API)
NEWS

# Install 'lmhelprs' in R:
install.packages('lmhelprs', repos = c('https://sfcheung.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sfcheung/lmhelprs/issues

Datasets:

On CRAN:

regression-models

4.54 score 14 scripts 336 downloads 6 exports 0 dependencies

Last updated 1 months agofrom:36a5392022. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winNOTENov 14 2024
R-4.4-macNOTENov 14 2024
R-4.3-winNOTENov 14 2024
R-4.3-macNOTENov 14 2024

Exports:hierarchicalhierarchical_lmhighest_orderlm_list_to_partablemany_lmtest_highest

Dependencies:

lmhelprs

Rendered fromlmhelprs.Rmdusingknitr::rmarkdownon Nov 14 2024.

Last update: 2023-10-29
Started: 2023-10-29