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
DOI: 10.32614/CRAN.package.cregg
Author: Thomas J. Leeper ORCID iD [aut, cre], Matthew Barnfield [ctb]
Maintainer: Thomas J. Leeper <thosjleeper at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: cregg citation info
Materials: README NEWS
CRAN checks: cregg results


Reference manual: cregg.pdf
Vignettes: Introduction to cregg


Package source: cregg_0.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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