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

In MLDS: Maximum Likelihood Difference Scaling

~~ 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 [e-mail]

References

Maloney, L. T. and Yang, J. N. (2003). Maximum likelihood difference scaling. Journal of Vision, 3(8):5, 573–585, \Sexpr[results=rd]{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, \Sexpr[results=rd]{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

MLDS documentation built on Aug. 20, 2023, 9:06 a.m.