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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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=cregg
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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