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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.
Getting started
Browse package contents
Package details |
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| 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@inserm.fr> |
| License | GPL (>= 2) |
| Version | 0.5.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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