cregg0.4.0 package

Simple Conjoint Tidying, Analysis, and Visualization

amce

Tidy estimation of AMCEs

cj_df

Create a cj_df data frame

cj_freqs

Conjoint feature frequencies

cj_tidy

Tidy a conjoint dataset

cregg

Simple Conjoint Analyses and Visualization

diffs

Preference Heterogeneity Diagnostics

mm

Marginal Means

plot

Plot AMCE estimates, MM descriptives, and frequency plots

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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>.

  • Maintainer: Thomas J. Leeper
  • License: MIT + file LICENSE
  • Last published: 2020-06-28

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