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