MLDS-package: ~~ MLDS ~~ Maximum Likelihood Differerence Scaling

Description Details Author(s) References Examples

Description

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.

Details

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.

Author(s)

Kenneth Knoblauch and Laurence T. Maloney

Maintainer: Ken Knoblauch ken.knoblauch@inserm.fr

References

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.

Examples

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library(MLDS)
data(kk1)  # data for one subject for 330 trials of the same experiment
plot(mlds(kk1)) # fit and plot the fitted difference scale

MLDS documentation built on May 1, 2019, 6:50 p.m.