Package: RGremlinsConjoint 0.9.1.9000

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.

Authors:John Howell [aut, cre, cph], Peter Ebbes [aut], John Leichty [aut]

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RGremlinsConjoint.pdf |RGremlinsConjoint.html✨
RGremlinsConjoint/json (API)
NEWS

# Install 'RGremlinsConjoint' in R:
install.packages('RGremlinsConjoint', repos = c('https://statuser.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/statuser/rgremlinsconjoint/issues

Datasets:
  • cbc.df - Simulated data for the "Gremlins in the Data Model"

On CRAN:

3 exports 0.84 score 3 dependencies 6 scripts 216 downloads

Last updated 1 years agofrom:d1fbdcc4ad. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winNOTESep 05 2024
R-4.5-linuxNOTESep 05 2024
R-4.4-winNOTESep 05 2024
R-4.4-macNOTESep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:code_sawtooth_designconvert_to_bayesmestimateGremlinsModel

Dependencies:bayesmRcppRcppArmadillo

RGremlinsConjoint Basic Instructions

John Howell

Rendered fromRGremlinsConjoint.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2021-06-04
Started: 2021-06-01