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 |