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: | 0.4.1 |
| Depends: | R (≥ 2.6), graphics, stats, utils, base |
| Imports: | MASS |
| Published: | 2012-10-17 |
| Author: | Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang |
| Maintainer: | Ken Knoblauch <ken.knoblauch at inserm.fr> |
| License: | GPL |
| NeedsCompilation: | no |
| Citation: | MLDS citation info |
| In views: | Psychometrics |
| CRAN checks: | MLDS results |
| Package source: | MLDS_0.4.1.tar.gz |
| MacOS X binary: | MLDS_0.4.1.tgz |
| Windows binary: | MLDS_0.4.1.zip |
| Reference manual: | MLDS.pdf |
| Vignettes: |
{MLDS: Maximum Likelihood Difference Scaling in R} |
| News/ChangeLog: | NEWS |
| Old sources: | MLDS archive |