MLDS (0.4.5)

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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.

Maintainer: Ken Knoblauch
Author(s): Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang

License: GPL (>= 2)

Uses: MASS

Released over 2 years ago.

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