| MLDS-package {MLDS} | R Documentation |
~~ MLDS ~~ Maximum Likelihood Differerence Scaling
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
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, 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, doi:10.18637/jss.v025.i02.
Examples
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