psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R

A beginner-friendly R package for modeling in psychology or related field. It allows fitting models, plotting, checking goodness of fit, and model assumption violations all in one place. It also produces beautiful and easy-to-read output.

Version:	0.3.2
Depends:	R (≥ 3.2)
Imports:	dplyr, ggplot2, glue, insight, lavaan, lifecycle, lme4, lmerTest, parameters, patchwork, performance, psych, rlang (≥ 0.1.2), stringr, tibble, tidyr, utils
Suggests:	correlation, covr, cowplot, fansi, ggrepel, GPArotation, gridExtra, interactions, knitr, nFactors, nlme, pagedown, qqplotr, rmarkdown, roxygen2, sandwich, see, semPlot, testthat (≥ 3.0.0), tidyselect
Published:	2021-09-05
Author:	Jason Moy [aut, cre]
Maintainer:	Jason Moy <jasonmoy28 at gmail.com>
License:	GPL (≥ 3)
URL:	https://jasonmoy28.github.io/psycModel/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	psycModel results

Documentation:

Reference manual:	psycModel.pdf
Vignettes:	brief-introduction-to-select-syntax quick-introduction

Downloads:

Package source:	psycModel_0.3.2.tar.gz
Windows binaries:	r-devel: psycModel_0.3.2.zip, r-release: psycModel_0.3.2.zip, r-oldrel: psycModel_0.3.2.zip
macOS binaries:	r-release (arm64): psycModel_0.3.2.tgz, r-oldrel (arm64): psycModel_0.3.2.tgz, r-release (x86_64): psycModel_0.3.2.tgz, r-oldrel (x86_64): psycModel_0.3.2.tgz
Old sources:	psycModel archive

Linking:

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