MLCM: Maximum Likelihood Conjoint Measurement
Conjoint measurement is a psychophysical procedure in which stimulus pairs are presented that vary along 2 or more dimensions and the observer is required to compare the stimuli along one of them. This package contains functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.
| Version: |
0.4.3 |
| Depends: |
R (≥ 3.5), graphics, stats, utils, base |
| Published: |
2022-01-11 |
| DOI: |
10.32614/CRAN.package.MLCM |
| Author: |
Ken Knoblauch [aut],
Laurence T. Maloney [aut],
Guillermo Aguilar [aut, cre] |
| Maintainer: |
Guillermo Aguilar <guillermo.aguilar at mail.tu-berlin.de> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
MLCM results |
Documentation:
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