MLCM
Maximum Likelihood Conjoint Measurement
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". <doi:10.1007/978-1-4614-4475-6>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.4 |
rolling linux/jammy R-4.5 | MLCM_0.4.4.tar.gz |
112.0 KiB |
0.4.4 |
rolling linux/noble R-4.5 | MLCM_0.4.4.tar.gz |
112.0 KiB |
0.4.4 |
rolling source/ R- | MLCM_0.4.4.tar.gz |
33.1 KiB |
0.4.4 |
latest linux/jammy R-4.5 | MLCM_0.4.4.tar.gz |
112.0 KiB |
0.4.4 |
latest linux/noble R-4.5 | MLCM_0.4.4.tar.gz |
112.0 KiB |
0.4.4 |
latest source/ R- | MLCM_0.4.4.tar.gz |
33.1 KiB |
0.4.4 |
2026-04-26 source/ R- | MLCM_0.4.4.tar.gz |
33.1 KiB |
0.4.4 |
2026-04-23 source/ R- | MLCM_0.4.4.tar.gz |
33.1 KiB |
0.4.4 |
2026-04-09 windows/windows R-4.5 | MLCM_0.4.4.zip |
114.7 KiB |
0.4.3 |
2025-04-20 source/ R- | MLCM_0.4.3.tar.gz |
38.4 KiB |