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: | 0.4.2 |
| Depends: | R (≥ 3.0), graphics, stats, utils, base |
| Published: | 2019-03-28 |
| 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.pdf |
| Package source: | MLCM_0.4.2.tar.gz |
| Windows binaries: | r-devel: MLCM_0.4.2.zip, r-release: MLCM_0.4.2.zip, r-oldrel: MLCM_0.4.2.zip |
| macOS binaries: | r-release: MLCM_0.4.2.tgz, r-oldrel: MLCM_0.4.2.tgz |
| Old sources: | MLCM archive |
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