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RGremlinsConjoint: Estimate the "Gremlins in the Data" Model for Conjoint Studies

The tools and utilities to estimate the model described in "Gremlin's in the Data: Identifying the Information Content of Research Subjects" (Howell et al. (2021) <doi:10.1177/0022243720965930>) using conjoint analysis data such as that collected in Sawtooth Software's 'Lighthouse' or 'Discover' products. Additional utilities are included for formatting the input data.

Version: 0.9.1
Depends: R (≥ 2.10)
Imports: bayesm
Suggests: knitr, rmarkdown, testthat
Published: 2023-09-08
DOI: 10.32614/CRAN.package.RGremlinsConjoint
Author: John Howell [aut, cre, cph], Peter Ebbes [aut], John Leichty [aut]
Maintainer: John Howell <john_howell at byu.edu>
BugReports: https://github.com/statuser/RGremlinsConjoint/issues
License: MIT + file LICENSE
URL: https://github.com/statuser/RGremlinsConjoint
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RGremlinsConjoint results

Documentation:

Reference manual: RGremlinsConjoint.pdf
Vignettes: RGremlinsConjoint

Downloads:

Package source: RGremlinsConjoint_0.9.1.tar.gz
Windows binaries: r-devel: RGremlinsConjoint_0.9.1.zip, r-release: RGremlinsConjoint_0.9.1.zip, r-oldrel: RGremlinsConjoint_0.9.1.zip
macOS binaries: r-release (arm64): RGremlinsConjoint_0.9.1.tgz, r-oldrel (arm64): RGremlinsConjoint_0.9.1.tgz, r-release (x86_64): RGremlinsConjoint_0.9.1.tgz, r-oldrel (x86_64): RGremlinsConjoint_0.9.1.tgz
Old sources: RGremlinsConjoint archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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