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MLCM
View on CRAN: Click
here
Download and install MLCM package within the R console
Install from CRAN:
install.packages("MLCM")
Install from Github:
library("remotes")
install_github("cran/MLCM")
Install by package version:
library("remotes")
install_version("MLCM", "0.4.3")
Attach the package and use:
library("MLCM")
Maintained by
Guillermo Aguilar
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-09
Latest Update: 2022-01-11
Description:
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". .
How to cite:
Guillermo Aguilar (2009). MLCM: Maximum Likelihood Conjoint Measurement. R package version 0.4.3, https://cran.r-project.org/web/packages/MLCM. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0-1 (2009-09-09 09:25), 0.0-2 (2009-09-18 22:18), 0.0-3 (2009-09-22 16:52), 0.0-5 (2009-10-01 21:53), 0.0-6 (2009-10-05 10:27), 0.0-7 (2009-11-23 12:38), 0.0-8 (2011-04-05 16:47), 0.0-9 (2011-10-14 15:22), 0.1 (2011-11-21 09:06), 0.2 (2012-03-02 17:50), 0.3 (2013-09-02 17:03), 0.4.1 (2014-02-12 09:34), 0.4.2 (2019-03-29 00:30), 0.4 (2014-01-20 12:57)
Other packages that cited MLCM R package
View MLCM citation profile
Other R packages that MLCM depends,
imports, suggests or enhances
Complete documentation for MLCM
Functions, R codes and Examples using
the MLCM R package
Some associated functions: BumpyGlossy . MLCM-package . Texture . anova.mlcm . as.mlcm.df . binom.diagnostics . boot.mlcm . fitted.mlcm . logLik.mlcm . make.wide . mlcm . plot.mlcm.df . plot.mlcm . predict.mlcm . summary.mlcm .
Some associated R codes: anova.mlcm.R . as.mlcm.df.R . binom.diagnostics.R . boot.mlcm.R . coef.mlcm.R . fitted.mlcm.R . logLik.mlcm.R . make.wide.R . mlcm.R . mlcm.default.R . mlcm.formula.R . plot.mlcm.R . plot.mlcm.df.R . predict.mlcm.R . print.mlcm.R . print.summary.mlcm.R . summary.mlcm.R . vcov.mlcm.R . Full MLCM package functions and examples
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