which stimulus pairs are presented that vary along 2 or more
Packaged: 2009-09-18 11:50:11 UTC; knoblauch

Packaged: 2009-09-22 07:08:57 UTC; knoblauch

Packaged: 2009-10-01 11:22:23 UTC; knoblauch

Packaged: 2009-10-02 21:46:35 UTC; knoblauch

Packaged: 2009-11-22 23:53:07 UTC; knoblauch

Packaged: 2011-04-05 11:23:16 UTC; knoblauch

Package: MLCM
Type: Package
Title: Maximum Likelihood Conjoint Measurement
Version: 0.0-9
Date: 2011-10-14
Author: Kenneth Knoblauch and Laurence T. Maloney
Maintainer: Ken Knoblauch <ken.knoblauch@inserm.fr>
Depends: R (>= 2.9), 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.
License: GPL
LazyData: yes
Packaged: 2011-10-14 09:38:52 UTC; knoblauch
Repository: CRAN
Date/Publication: 2011-10-14 13:22:09

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.

Depends: R (>= 3.0), graphics, stats, utils, base

Authors@R: c(person("Ken", "Knoblauch", role = c("aut", "cre"),
person(c("Laurence", "T."), "Maloney", role = "aut"))

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"))
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>.