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: | 0.3.0 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, sandwich (≥ 2.4-0), survey (≥ 3.33), lmtest, ggplot2 (≥ 2.0), ggstance, scales |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2018-07-30 |
Author: | Thomas J. Leeper |
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 |
Reference manual: | cregg.pdf |
Vignettes: |
Introduction to cregg |
Package source: | cregg_0.3.0.tar.gz |
Windows binaries: | r-devel: cregg_0.3.0.zip, r-devel-gcc8: cregg_0.3.0.zip, r-release: cregg_0.3.0.zip, r-oldrel: cregg_0.3.0.zip |
OS X binaries: | r-release: cregg_0.3.0.tgz, r-oldrel: cregg_0.3.0.tgz |
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