Maximum Likelihood Conjoint Measurement

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Documentation for package ‘MLCM’ version 0.4.3

• DESCRIPTION file.
• Package NEWS.

Help Pages

MLCM-package	Maximum Likelihood Conjoint Measurement
anova.mlcm	Analysis of Deviance for Maximum Likelihood Conjoint Measurement Model Fits
as.mlcm.df	Coerce data frame to mlcm.df
binom.diagnostics	Diagnostics for Binary GLM
boot.mlcm	Resampling of an Estimated Conjoint Measurement Scale
BumpyGlossy	Conjoint Measurement Data for Bumpiness and Glossiness
fitted.mlcm	Fitted Responses for a Conjoint Measurement Scale
GlossyBumpy	Conjoint Measurement Data for Bumpiness and Glossiness
lines.mlcm	Plot an mlcm Object
logLik.mlcm	Extract Log-Likelihood from mlcm Object
make.wide	Create data frame for Fitting Conjoint Measurment Models by glm
make.wide.full	Create data frame for Fitting Conjoint Measurment Models by glm
MLCM	Maximum Likelihood Conjoint Measurement
mlcm	Fit Conjoint Measurement Models by Maximum Likelihood
mlcm.default	Fit Conjoint Measurement Models by Maximum Likelihood
mlcm.formula	Fit Conjoint Measurement Models by Maximum Likelihood
plot.mlcm	Plot an mlcm Object
plot.mlcm.df	Create Conjoint Proportion Plot from mlcm.df Object
plot.mlcm.diag	Diagnostics for Binary GLM
points.mlcm	Plot an mlcm Object
predict.mlcm	Predict Method for MLCM Objects
print.mlcm	Fit Conjoint Measurement Models by Maximum Likelihood
print.summary.mlcm	Summary Method for mlcm objects
summary.mlcm	Summary Method for mlcm objects
Texture	Three-way Conjoint Measurement Data for Texture Regularity.