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MLCM
MLCM — Maximum Likelihood Conjoint Measurement
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Version
Version
0.4.3
0.4.2
0.4.1
0.3
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0.1
0.0-9
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0.0-6
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0.0-3
0.0-2
0.0-1
Install
install.packages('MLCM')
Monthly Downloads
297
Version
0.4.3
License
GPL (>= 2)
Maintainer
Guillermo Aguilar
Last Published
January 11th, 2022
Functions in MLCM (0.4.3)
Search all functions
MLCM-package
Maximum Likelihood Conjoint Measurement
make.wide
Create data frame for Fitting Conjoint Measurment Models by glm
Texture
Three-way Conjoint Measurement Data for Texture Regularity.
BumpyGlossy
Conjoint Measurement Data for Bumpiness and Glossiness
anova.mlcm
Analysis of Deviance for Maximum Likelihood Conjoint Measurement Model Fits
logLik.mlcm
Extract Log-Likelihood from mlcm Object
as.mlcm.df
Coerce data frame to mlcm.df
fitted.mlcm
Fitted Responses for a Conjoint Measurement Scale
binom.diagnostics
Diagnostics for Binary GLM
boot.mlcm
Resampling of an Estimated Conjoint Measurement Scale
plot.mlcm.df
Create Conjoint Proportion Plot from mlcm.df Object
mlcm
Fit Conjoint Measurement Models by Maximum Likelihood
predict.mlcm
Predict Method for MLCM Objects
summary.mlcm
Summary Method for mlcm objects
plot.mlcm
Plot an mlcm Object