MLDS-package |
~~ MLDS ~~ Maximum Likelihood Differerence Scaling
|
AIC.mlds |
Extract AIC from Object of Class 'mlds' |
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 |
DefineMyScale |
Helper Functions for Perception of Correlation Difference Scale Experiment |
df2mlds.df |
Coerces a data.frame to mlds.df |
DisplayOneTrial |
Helper Functions for Perception of Correlation Difference Scale Experiment |
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 |
kk1 |
Difference Scale Judgment Data Sets |
kk2 |
Difference Scale Judgment Data Sets |
kk3 |
Difference Scale Judgment Data Sets |
lik6pt |
Compute Log Likelihood for 6-point Test |
lines.mlds |
Plot a mlds Object |
logLik.mlds |
Compute Log-Likelihood for an mlds object |
make.ix.mat |
Create data.frame for Fitting Difference Scale by glm |
MLDS |
~~ MLDS ~~ Maximum Likelihood Differerence Scaling
|
mlds |
Fit Difference Scale by Maximum Likelihood |
plot.mlds |
Plot a mlds Object |
plot.mlds.diag |
Diagnostics for Binary GLM |
pmc |
Proportion of Misclassifications According to an Estimated MLDS Fit |
points.mlds |
Plot a mlds Object |
predict.mlds |
Predict method for MLDS Fits |
print.mlds |
Difference Scale default print statement |
print.summary.mlds |
Summary for a mlds fit |
Rbind |
Concatenate Objects of Class 'mlds.df' by Row |
rbind.mlds.df |
Concatenate Objects of Class 'mlds.df' by Row |
runSampleExperiment |
Start and run a Difference Scale Experiment |
simu.6pt |
Perform Bootstrap Test on 6-point Likelihood for MLDS FIT |
summary.mlds |
Summary for a mlds fit |
SwapOrder |
Order Stimuli and Adjust Responses from Difference Scaling data.frame |