MLDS-package

~~ MLDS ~~ Maximum Likelihood Differerence Scaling

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

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, tools:::Rd_expr_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, tools:::Rd_expr_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