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>
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_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MLDS_0.5.1.tgz, r-oldrel (arm64): MLDS_0.5.1.tgz, r-release (x86_64): MLDS_0.5.1.tgz, r-oldrel (x86_64): MLDS_0.5.1.tgz
Old sources: MLDS archive


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