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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>.
Getting started
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Package details |
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| Author | Ken Knoblauch [aut], Laurence T. Maloney [aut], Guillermo Aguilar [aut, cre] |
| Maintainer | Guillermo Aguilar <guillermo.aguilar@mail.tu-berlin.de> |
| License | GPL (>= 2) |
| Version | 0.4.3 |
| Package repository | View on CRAN |
| Installation |
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