cregg: Simple Conjoint Tidying, Analysis, and Visualization

Simple tidying, analysis, and visualization of conjoint (factorial) experiments, including estimation and visualization of average marginal component effects ('AMCEs') and marginal means ('MMs') for weighted and un-weighted survey data, along with useful reference category diagnostics and statistical tests. Estimation of 'AMCEs' is based upon methods described by Hainmueller, Hopkins, and Yamamoto (2014) <doi:10.1093/pan/mpt024>.

Version:	0.4.0
Depends:	R (≥ 3.5.0)
Imports:	stats, sandwich (≥ 2.4-0), survey (≥ 3.33), lmtest, ggplot2 (≥ 2.0), ggstance, scales, utils
Suggests:	testthat, knitr, rmarkdown
Published:	2020-06-28
Author:	Thomas J. Leeper [aut, cre], Matthew Barnfield [ctb]
Maintainer:	Thomas J. Leeper <thosjleeper at gmail.com>
BugReports:	https://github.com/leeper/cregg/issues
License:	MIT + file LICENSE
URL:	https://github.com/leeper/cregg
NeedsCompilation:	no
Citation:	cregg citation info
Materials:	README NEWS
CRAN checks:	cregg results

Documentation:

Reference manual:	cregg.pdf
Vignettes:	Introduction to cregg

Downloads:

Package source:	cregg_0.4.0.tar.gz
Windows binaries:	r-devel: cregg_0.4.0.zip, r-release: cregg_0.4.0.zip, r-oldrel: cregg_0.4.0.zip
macOS binaries:	r-release (arm64): cregg_0.4.0.tgz, r-oldrel (arm64): cregg_0.4.0.tgz, r-release (x86_64): cregg_0.4.0.tgz, r-oldrel (x86_64): cregg_0.4.0.tgz
Old sources:	cregg archive

Reverse dependencies:

Reverse suggests:

cjbart

Linking:

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