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interactions
View on CRAN: Click
here
Download and install interactions package within the R console
Install from CRAN:
install.packages("interactions")
Install from Github:
library("remotes")
install_github("cran/interactions")
Install by package version:
library("remotes")
install_version("interactions", "1.2.0")
Attach the package and use:
library("interactions")
Maintained by
Jacob A. Long
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-19
Latest Update: 2021-07-02
Description:
A suite of functions for conducting and interpreting analysis
of statistical interaction in regression models that was formerly part of the
'jtools' package. Functionality includes visualization of two- and three-way
interactions among continuous and/or categorical variables as well as
calculation of "simple slopes" and Johnson-Neyman intervals (see e.g.,
Bauer & Curran, 2005 ). These
capabilities are implemented for generalized linear models in addition to the
standard linear regression context.
How to cite:
Jacob A. Long (2019). interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions. R package version 1.2.0, https://cran.r-project.org/web/packages/interactions. Accessed 06 Jan. 2025.
Previous versions and publish date:
Other packages that cited interactions R package
View interactions citation profile
Other R packages that interactions depends,
imports, suggests or enhances
Complete documentation for interactions
Functions, R codes and Examples using
the interactions R package
Some associated functions: as_huxtable.sim_margins . as_huxtable.sim_slopes . cat_plot . interact_plot . johnson_neyman . plot.sim_margins . plot.sim_slopes . probe_interaction . reexports . sim_margins . sim_margins_tidiers . sim_slopes . sim_slopes_tidiers .
Some associated R codes: cat_plot.R . int_utils.R . interact_plot.R . johnson_neyman.R . simple_margins.R . simple_slopes.R . utils.R . Full interactions package functions and examples
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