Description Details Author(s) References Examples

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 and to fit the resulting data by maximum likelihood.

Package: | MLDS |

Type: | Package |

Version: | 0.0.4 |

Date: | 2007-04-16 |

License: | GPL |

The package provides a function, `mlds`

for estimating a perceptual scale using the data obtained from one or several difference scaling experiments. A second function, `simu.6pt`

permits the interval validity of the scale to be evaluated using a bootstrap method. Several methods are supplied for accessing and examining the ‘mlds’ object generated by estimating the scale.

Kenneth Knoblauch and Laurence T. Maloney

Maintainer: Ken Knoblauch ken.knoblauch@inserm.fr

Maloney, L. T. and Yang, J. N. (2003). Maximum likelihood difference scaling. *Journal of Vision*, **3(8):5**, 573–585, http://journalofvision.org/3/8/5/, doi:10.1167/3.8.5.

Knoblauch, K. and Maloney, L. T. (2008) MLDS: Maximum likelihood difference scaling in R.
*Journal of Statistical Software*, **25:2**, 1–26, http://www.jstatsoft.org/v25/i02.

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