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:	0.4.901
Depends:	R (≥ 3.0), graphics, stats, utils, base
Imports:	MASS
Published:	2022-02-04
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:

Reference manual:	MLDS.pdf
Vignettes:	MLDS: Maximum Likelihood Difference Scaling in R

Downloads:

Package source:	MLDS_0.4.901.tar.gz
Windows binaries:	r-devel: MLDS_0.4.901.zip, r-release: MLDS_0.4.901.zip, r-oldrel: MLDS_0.4.901.zip
macOS binaries:	r-release (arm64): MLDS_0.4.901.tgz, r-oldrel (arm64): MLDS_0.4.901.tgz, r-release (x86_64): MLDS_0.4.901.tgz, r-oldrel (x86_64): MLDS_0.4.901.tgz
Old sources:	MLDS archive

Linking:

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