DESCRIPTION

Package: MLCM
Type: Package
Title: Maximum Likelihood Conjoint Measurement
Version: 0.4.4
Date: 2026-02-15
Authors@R: c(person("Ken", "Knoblauch", role = "aut", email = "ken.knoblauch@inserm.fr"), 
	     person(c("Laurence", "T."), "Maloney", role = "aut"),
	     person("Guillermo", "Aguilar", role=c("aut", "cre"), email="guillermo.aguilar@mail.tu-berlin.de"))
Depends: R (>= 3.5), graphics, stats, utils, base
Description: 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>.
License: GPL (>= 2)
LazyData: yes
Author: Ken Knoblauch [aut],
  Laurence T. Maloney [aut],
  Guillermo Aguilar [aut, cre]
Maintainer: Guillermo Aguilar <guillermo.aguilar@mail.tu-berlin.de>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2019-03-28 23:30:03 UTC