MLDS: Maximum Likelihood Difference Scaling
Difference scaling is a method for scaling perceived
supra-threshold differences. The package contains functions that
allow the user to design and run a difference scaling experiment,
to fit the resulting data by maximum likelihood and test the
internal validity of the estimated scale.
Version: |
0.5.1 |
Depends: |
R (≥ 3.0), graphics, stats, utils, base |
Imports: |
MASS |
Published: |
2023-08-20 |
DOI: |
10.32614/CRAN.package.MLDS |
Author: |
Kenneth Knoblauch and Laurence T. Maloney,
based in part on C code written by Laurence T. Maloney
and J. N. Yang |
Maintainer: |
Kenneth Knoblauch <ken.knoblauch at inserm.fr> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
Citation: |
MLDS citation info |
Materials: |
NEWS |
In views: |
Psychometrics |
CRAN checks: |
MLDS results |
Documentation:
Downloads:
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