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.
|Author||Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang|
|Date of publication||2015-08-19 18:38:35|
|Maintainer||Ken Knoblauch <email@example.com>|
|License||GPL (>= 2)|
as.mlds.df: Coerces a data.frame to mlds.df
AutumnLab: Difference Scale Judgement Data Set
binom.diagnostics: Diagnostics for Binary GLM
boot.mlds: Resampling of an Estimated Difference Scale
DisplayOneQuad: Helper Functions for Perception of Correlation Difference...
fitted.mlds: Fitted Responses for a Difference Scale
Get6pts: Find All 6-point Conditions in data.frame
ix.mat2df: Transform data.frame back to Raw Difference Scale Format
kk: Difference Scale Judgment Data Sets
lik6pt: Compute Log Likelihood for 6-point Test
logLik.mlds: Compute Log-Likelihood for an mlds object
make.ix.mat: Create data.frame for Fitting Difference Scale by glm
mlds: Fit Difference Scale by Maximum Likelihood
MLDS-package: ~~ MLDS ~~ Maximum Likelihood Differerence Scaling
plot.mlds: Plot a mlds Object
pmc: Proportion of Misclassifications According to an Estimated...
predict.mlds: Predict method for MLDS Fits
print.mlds: Difference Scale default print statement
rbind.mlds.df: Concatenate Objects of Class 'mlbs.df' or 'mlds.df' by Row
runQuadExperiment: Start and run a Difference Scale Experiment
SimMLDS: Simulate Output of MLDS Experiment
simu.6pt: Perform Bootstrap Test on 6-point Likelihood for MLDS FIT
summary.mlds: Summary for a mlds fit
summary.mlds.bt: Method to Extract Bootstrap Values for MLDS Scale Values
SwapOrder: Order Stimuli and Adjust Responses from Difference Scaling...
Transparency: Difference Scaling of Transparency