Package: CRTConjoint 0.1.0

CRTConjoint: Conditional Randomization Testing (CRT) Approach for Conjoint Analysis

Computes p-value according to the CRT using the HierNet test statistic. For more details, see Ham, Imai, Janson (2022) "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" <arxiv:2201.08343>.

Authors:Dae Woong Ham [aut, cre], Kosuke Imai [aut], Lucas Janson [aut], Jacob Bien [ctb, cph]

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CRTConjoint.pdf |CRTConjoint.html✨
CRTConjoint/json (API)
NEWS

# Install 'CRTConjoint' in R:
install.packages('CRTConjoint', repos = c('https://daewoongham97.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/daewoongham97/crtconjoint/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • immigrationdata - Immigration Choice Conjoint Experiment Data from Hainmueller et. al. (2014).

On CRAN:

3.70 score 1 stars 5 scripts 187 downloads 4 exports 6 dependencies

Last updated 2 years agofrom:ed1fb7c43d. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-win-x86_64OKNov 20 2024
R-4.5-linux-x86_64OKNov 20 2024
R-4.4-win-x86_64OKNov 20 2024
R-4.4-mac-x86_64OKNov 20 2024
R-4.4-mac-aarch64OKNov 20 2024
R-4.3-win-x86_64OKNov 20 2024
R-4.3-mac-x86_64OKNov 20 2024
R-4.3-mac-aarch64OKNov 20 2024

Exports:CRT_carryovereffectCRT_fatigueeffectCRT_profileordereffectCRT_pval

Dependencies:codetoolsdoSNOWforeachiteratorsRcppsnow

Using CRTConjoint

Rendered fromCRTConjoint.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2022-06-02
Started: 2022-06-02