CRAN/E | CRTConjoint

CRTConjoint

Conditional Randomization Testing (CRT) Approach for Conjoint Analysis

Installation

About

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" .

github.com/daewoongham97/CRTConjoint
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.
Bug report File report

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2022-06-09 681 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks CRTConjoint results

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Maintainer

Maintainer

Dae Woong Ham

daewoongham@g.harvard.edu

Authors

Dae Woong Ham

aut / cre

Kosuke Imai

aut

Lucas Janson

aut

Jacob Bien

ctb / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Using CRTConjoint

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

utils
methods
doSNOW
foreach
Rcpp
snow

Suggests

knitr
rmarkdown

LinkingTo

Rcpp