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: 0.4.5
Depends: R (≥ 3.0), graphics, stats, utils, base
Imports: MASS
Published: 2015-08-19
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: MLDS citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: MLDS results


Reference manual: MLDS.pdf
Vignettes: {MLDS: Maximum Likelihood Difference Scaling in R}
Package source: MLDS_0.4.5.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: MLDS_0.4.5.tgz, r-oldrel: MLDS_0.4.5.tgz
Old sources: MLDS archive


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