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.
- Version0.1.0
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release06/09/2022
Documentation
Team
Dae Woong Ham
Kosuke Imai
Jacob Bien
Show author detailsRolesContributor, Copyright holderLucas Janson
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 185 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,310 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 07, 2024 with 35 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports4 packages
- Suggests2 packages
- Linking To1 package