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CRTConjoint  

Conditional Randomization Testing (CRT) Approach for Conjoint Analysis
View on CRAN: Click here


Download and install CRTConjoint package within the R console
Install from CRAN:
install.packages("CRTConjoint")

Install from Github:
library("remotes")
install_github("cran/CRTConjoint")

Install by package version:
library("remotes")
install_version("CRTConjoint", "0.1.0")



Attach the package and use:
library("CRTConjoint")
Maintained by
Dae Woong Ham
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-09
Latest Update: 2022-06-09
Description:
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" .
How to cite:
Dae Woong Ham (2022). CRTConjoint: Conditional Randomization Testing (CRT) Approach for Conjoint Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/CRTConjoint. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other packages that cited CRTConjoint R package
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Other R packages that CRTConjoint depends, imports, suggests or enhances
Complete documentation for CRTConjoint
Functions, R codes and Examples using the CRTConjoint R package
Some associated functions: CRTConjoint-package . CRT_carryovereffect . CRT_fatigueeffect . CRT_profileordereffect . CRT_pval . immigrationdata . 
Some associated R codes: CRTConjoint-package.R . RcppExports.R . data.R . helper_funcs.R . helper_hierNet.R . main_funcs.R .  Full CRTConjoint package functions and examples
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