Work

MLCM: Maximum Likelihood Conjoint Measurement

Year: 2009

Type: dataset

Abstract: 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>.

DOI: 10.32614/cran.package.mlcm

Authors: Ken Knoblauch, Laurence T. Maloney, Guillermo Aguilar

Language: English

Topic: Visual perception and processing mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W4399585289

Cites: 2

Cited by: 8

Related to: 10