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: 0.4.3
Depends: R (≥ 3.0), graphics, stats, utils, base
Imports: MASS
Published: 2014-01-20
Author: Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang
Maintainer: Ken 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

Downloads:

Reference manual: MLDS.pdf
Vignettes: {MLDS: Maximum Likelihood Difference Scaling in R}
Package source: MLDS_0.4.3.tar.gz
MacOS X binary: MLDS_0.4.3.tgz
Windows binary: MLDS_0.4.3.zip
Old sources: MLDS archive