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:	0.4.4
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

Documentation:

Reference manual:

MLCM.html , MLCM.pdf

Downloads:

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

Linking:

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