MLDS-package {MLDS} | R Documentation |
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 knoblauch@lyon.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.
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