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]

CRTConjoint_0.1.0.tar.gz
CRTConjoint_0.1.0.zip(r-4.5)CRTConjoint_0.1.0.zip(r-4.4)CRTConjoint_0.1.0.zip(r-4.3)
CRTConjoint_0.1.0.tgz(r-4.4-x86_64)CRTConjoint_0.1.0.tgz(r-4.4-arm64)CRTConjoint_0.1.0.tgz(r-4.3-x86_64)CRTConjoint_0.1.0.tgz(r-4.3-arm64)
CRTConjoint_0.1.0.tar.gz(r-4.5-noble)CRTConjoint_0.1.0.tar.gz(r-4.4-noble)
CRTConjoint_0.1.0.tgz(r-4.4-emscripten)CRTConjoint_0.1.0.tgz(r-4.3-emscripten)
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:

4 exports 1 stars 0.74 score 6 dependencies 4 scripts 231 downloads

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

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-win-x86_64OKAug 22 2024
R-4.5-linux-x86_64OKAug 22 2024
R-4.4-win-x86_64OKAug 22 2024
R-4.4-mac-x86_64OKAug 22 2024
R-4.4-mac-aarch64OKAug 22 2024
R-4.3-win-x86_64OKAug 22 2024
R-4.3-mac-x86_64OKAug 22 2024
R-4.3-mac-aarch64OKAug 22 2024

Exports:CRT_carryovereffectCRT_fatigueeffectCRT_profileordereffectCRT_pval

Dependencies:codetoolsdoSNOWforeachiteratorsRcppsnow

Using CRTConjoint

Rendered fromCRTConjoint.Rmdusingknitr::rmarkdownon Aug 22 2024.

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