MLDS: Maximum Likelihood Difference Scaling
Version 0.4.5

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
Date of publication2015-08-19 18:38:35
MaintainerKen Knoblauch <ken.knoblauch@inserm.fr>
LicenseGPL (>= 2)
Version0.4.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MLDS")

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MLDS documentation built on May 29, 2017, 9:32 a.m.