Package: reghelper 1.1.2

reghelper: Helper Functions for Regression Analysis

A set of functions used to automate commonly used methods in regression analysis. This includes plotting interactions, and calculating simple slopes, standardized coefficients, regions of significance (Johnson & Neyman, 1936; cf. Spiller et al., 2012), etc. See the reghelper documentation for more information, documentation, and examples.

Authors:Jeffrey Hughes [aut, cre], David Beiner [aut]

reghelper_1.1.2.tar.gz
reghelper_1.1.2.zip(r-4.7)reghelper_1.1.2.zip(r-4.6)reghelper_1.1.2.zip(r-4.5)
reghelper_1.1.2.tgz(r-4.6-any)reghelper_1.1.2.tgz(r-4.5-any)
reghelper_1.1.2.tar.gz(r-4.7-any)reghelper_1.1.2.tar.gz(r-4.6-any)
reghelper_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
reghelper/json (API)
NEWS

# Install 'reghelper' in R:

install.packages('reghelper', repos = c('https://jeff-hughes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jeff-hughes/reghelper/issues

On CRAN:

6.36 score 5 stars 1 packages 191 scripts 778 downloads 8 mentions 10 exports 30 dependencies

Last updated from:64ea7a2dea. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	130
source / vignettes	OK	177
linux-release-x86_64	OK	125
macos-release-arm64	OK	120
macos-oldrel-arm64	OK	140
windows-devel	OK	133
windows-release	OK	77
windows-oldrel	OK	91
wasm-release	OK	101

Exports:beta build_model build_model_q cell_means cell_means_q graph_model graph_model_q ICC sig_regions simple_slopes

Dependencies:boot cli cpp11 farver ggplot2 glue gtable isoband labeling lattice lifecycle lme4 MASS Matrix minqa nlme nloptr R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack reformulas rlang S7 scales vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Standardized coefficients of a model.	beta beta.aov beta.glm beta.lm
Incremental block modelling.	build_model
Incremental block modelling.	build_model_q
Estimated values of a linear model.	cell_means cell_means.aov cell_means.glm cell_means.lm
Estimated values of a linear model.	cell_means_q cell_means_q.aov cell_means_q.glm cell_means_q.lm
Graph interactions for fitted models.	graph_model graph_model.aov graph_model.glm graph_model.lm graph_model.lme graph_model.merMod
Graph interactions for fitted models.	graph_model_q graph_model_q.aov graph_model_q.glm graph_model_q.lm graph_model_q.lme graph_model_q.merMod
Intra-class correlation.	ICC ICC.lme ICC.merMod
Print simple slopes.	print.simple_slopes
Regions of significance for an interaction.	sig_regions sig_regions.glm sig_regions.lm
Simple slopes of an interaction.	simple_slopes simple_slopes.glm simple_slopes.lm simple_slopes.lme simple_slopes.merMod
Summary functions for build_model block regression models.	block_model_summ coef.block_aov coef.block_glm coef.block_lm fitted.block_aov fitted.block_glm fitted.block_lm print.block_aov_summary print.block_glm_summary print.block_lm_summary residuals.block_aov residuals.block_glm residuals.block_lm summary.block_aov summary.block_glm summary.block_lm