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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" <doi:10.48550/arXiv.2201.08343>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: utils, methods, doSNOW, foreach, Rcpp, snow
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2022-06-09
DOI: 10.32614/CRAN.package.CRTConjoint
Author: Dae Woong Ham [aut, cre], Kosuke Imai [aut], Lucas Janson [aut], Jacob Bien [ctb, cph]
Maintainer: Dae Woong Ham <daewoongham at g.harvard.edu>
BugReports: https://github.com/daewoongham97/CRTConjoint/issues
License: GPL (≥ 3)
Copyright: (c) 2022 Dae Woong Ham. Code in helper_hierNet.R, hierNet.c, and hierNet_init.c are taken (with explicit permission) from (c) 2020 Jacob Bien.
URL: https://github.com/daewoongham97/CRTConjoint
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: CRTConjoint results

Documentation:

Reference manual: CRTConjoint.pdf
Vignettes: Using CRTConjoint

Downloads:

Package source: CRTConjoint_0.1.0.tar.gz
Windows binaries: r-devel: CRTConjoint_0.1.0.zip, r-release: CRTConjoint_0.1.0.zip, r-oldrel: CRTConjoint_0.1.0.zip
macOS binaries: r-release (arm64): CRTConjoint_0.1.0.tgz, r-oldrel (arm64): CRTConjoint_0.1.0.tgz, r-release (x86_64): CRTConjoint_0.1.0.tgz, r-oldrel (x86_64): CRTConjoint_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CRTConjoint to link to this page.

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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