Maximum Likelihood Difference Scaling
Coerces a data.frame to mlds.df
Diagnostics for Binary GLM
Resampling of an Estimated Difference Scale
Helper Functions for Perception of Correlation Difference Scale Experi...
Fitted Responses for a Difference Scale
Find All 6-point Conditions in data.frame
Transform data.frame back to Raw Difference Scale Format
Difference Scale Judgment Data Sets
Compute Log Likelihood for 6-point Test
Compute Log-Likelihood for an mlds object
Create data.frame for Fitting Difference Scale by glm
~~ MLDS ~~ Maximum Likelihood Differerence Scaling
Fit Difference Scale by Maximum Likelihood
Plot a mlds Object
Proportion of Misclassifications According to an Estimated MLDS Fit
Predict method for MLDS Fits
Difference Scale default print statement
Concatenate Objects of Class 'mlbs.df' or 'mlds.df' by Row
Start and run a Difference Scale Experiment
Simulate Output of MLDS Experiment
Perform Bootstrap Test on 6-point Likelihood for MLDS FIT
Method to Extract Bootstrap Values for MLDS Scale Values
Summary for a mlds fit
Order Stimuli and Adjust Responses from Difference Scaling data.frame
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, to fit the resulting data by maximum likelihood and test the internal validity of the estimated scale.