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: 0.4.2
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

Downloads:

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
OS X binaries: r-release: MLCM_0.4.2.tgz, r-oldrel: MLCM_0.4.2.tgz
Old sources: MLCM archive

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