MLCM (version 0.0-3)

MLCM-package: Maximum Likelihood Conjoint Measurement

Description

Estimate perceptual scales from data collected in a conjoint measurement experiment by maximum likelihood. Data for conjoint measurement are typically collected using a psychophysical procedure. The stimuli vary along $n \ge 2$ dimensions. The observer views pairs of stimuli and judges which stimulus of each pair is higher on a specified dimension. For example, stimuli may be goods baskets containing amounts of milk and honey (dimensions) and the subject may order each pair of baskets by subjective desirability. This package contains functions to estimate the additive contribution of the $n$ scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact.

Details

ll{ Package: MLCM Type: Package Version: 0.0-1 Date: 2009-08-17 License: GPL LazyLoad: yes LazyData: yes Built: R 2.9.1; ; 2009-08-17 13:38:05 UTC; unix }

Index: BumpyGlossy Conjoint Measurement Data for Bumpiness and Glossiness MLCM-package Estimate perceptual scales from a conjoint measurement experiment by maximum likelihood anova.mlcm Likelihood ratio tests for Maximum Likelihood Conjoint Measurement models logLik.mlcm Calculate log likelihood for Conjoint Measurement models make.wide Create data frame for Fitting Conjoint Measurment Scale by glm mlcm Fit Conjoint Measurement Models by Maximum Likelihood plot.mlcm plot method for Maximum Likelihood Conjoint Measurement models print.mlcm print method for Maximum Likelihood Conjoint Measurement models print.summary.mlcm print method for summary of Maximum Likelihood Conjoint Measurement models summary.mlcm summary method for Maximum Likelihood Conjoint Measurement models

References

Luce, R. D., and Tukey, J. W. (1964). Simultaneous conjoint measurement. Journal of Mathematical Psychology, 1, 1--27. Krantz, D. H., Luce, R. D., Suppes, P., and Tversky, A. (1971). Foundations of Measurement, Vol. 1: Additive and Polynomial Representations. New York: Academic Press. Ho, Y. H., Landy. M. S. and Maloney, L. T. (2008). Conjoint measurement of gloss and surface texture. Psychological Science, 19, 196--204.

See Also

glm

Examples

bg.acm <- mlcm(BumpyGlossy)
plot(bg.acm, pch = 21:22, bg = c("blue", "red"), col = "black",
	ylab = "Contributions to Perceived Bumpiness")