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.
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 firstname.lastname@example.org
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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