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.

Package details

AuthorKenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang
MaintainerKen Knoblauch <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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MLDS documentation built on May 1, 2019, 6:50 p.m.