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MLCM
MLCM — Maximum Likelihood Conjoint Measurement
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Version
Version
0.4.4
0.4.3
0.4.2
0.4.1
0.3
0.2
0.1
0.0-9
0.0-8
0.0-7
0.0-6
0.0-5
0.0-3
0.0-2
0.0-1
Install
install.packages('MLCM')
Monthly Downloads
245
Version
0.4.4
License
GPL (>= 2)
Maintainer
Guillermo Aguilar
Last Published
February 15th, 2026
Functions in MLCM (0.4.4)
Search all functions
as.mlcm.df
Coerce data frame to mlcm.df
anova.mlcm
Analysis of Deviance for Maximum Likelihood Conjoint Measurement Model Fits
predict.mlcm
Predict Method for MLCM Objects
plot.mlcm
Plot an mlcm Object
Texture
Three-way Conjoint Measurement Data for Texture Regularity.
BumpyGlossy
Conjoint Measurement Data for Bumpiness and Glossiness
mlcm
Fit Conjoint Measurement Models by Maximum Likelihood
fitted.mlcm
Fitted Responses for a Conjoint Measurement Scale
make.wide
Create data frame for Fitting Conjoint Measurment Models by glm
logLik.mlcm
Extract Log-Likelihood from mlcm Object
binom.diagnostics
Diagnostics for Binary GLM
summary.mlcm
Summary Method for mlcm objects
boot.mlcm
Resampling of an Estimated Conjoint Measurement Scale
MLCM-package
Maximum Likelihood Conjoint Measurement
plot.mlcm.df
Create Conjoint Proportion Plot from mlcm.df Object