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: | 0.4.4 |
| Depends: | R (≥ 3.5), graphics, stats, utils, base |
| Published: | 2026-02-15 |
| 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 |
| Reference manual: | MLCM.html , MLCM.pdf |
| Package source: | MLCM_0.4.4.tar.gz |
| Windows binaries: | r-devel: MLCM_0.4.4.zip, r-release: MLCM_0.4.4.zip, r-oldrel: MLCM_0.4.4.zip |
| macOS binaries: | r-release (arm64): MLCM_0.4.4.tgz, r-oldrel (arm64): MLCM_0.4.4.tgz, r-release (x86_64): MLCM_0.4.4.tgz, r-oldrel (x86_64): MLCM_0.4.4.tgz |
| Old sources: | MLCM archive |
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