MLDS: Maximum Likelihood Difference Scaling

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 <ken.knoblauch@inserm.fr>
License
GPL (>= 2)
Version
0.4.5

View on CRAN

Man pages

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

Files in this package

MLDS
MLDS/inst
MLDS/inst/CITATION
MLDS/inst/NEWS
MLDS/inst/doc
MLDS/inst/doc/MLDS.pdf
MLDS/inst/doc/MLDS.Stex
MLDS/inst/doc/MLDS.R
MLDS/NAMESPACE
MLDS/data
MLDS/data/kk3.rda
MLDS/data/Transparency.rda
MLDS/data/kk1.rda
MLDS/data/kk2.rda
MLDS/data/AutumnLab.rda
MLDS/data/kktriad.rda
MLDS/R
MLDS/R/print.summary.mlds.R
MLDS/R/print.mlds.R
MLDS/R/vcov.mlds.R
MLDS/R/logLik.mlds.R
MLDS/R/binom.diagnostics.R
MLDS/R/runQuadExperiment.R
MLDS/R/as.mlds.df.R
MLDS/R/lik6pt.R
MLDS/R/boot.mlds.R
MLDS/R/mlds.R
MLDS/R/SimMLDS.R
MLDS/R/Rbind.R
MLDS/R/runSampleExperiment.R
MLDS/R/make.ix.mat.R
MLDS/R/simu.6pt.R
MLDS/R/coef.mlds.R
MLDS/R/rbind.mlds.df.R
MLDS/R/Get6pts.R
MLDS/R/pmc.R
MLDS/R/SwapOrder.R
MLDS/R/predict.mlds.R
MLDS/R/fitted.mlds.R
MLDS/R/ix.mat2df.R
MLDS/R/plot.mlds.R
MLDS/R/summary.mlds.R
MLDS/R/runTriadExperiment.R
MLDS/vignettes
MLDS/vignettes/Figures
MLDS/vignettes/Figures/KM_JSS-007.pdf
MLDS/vignettes/Figures/KM_JSS-020.pdf
MLDS/vignettes/Figures/KM_JSS-003.pdf
MLDS/vignettes/Figures/KM_JSS-021.pdf
MLDS/vignettes/Figures/boothist.pdf
MLDS/vignettes/Figures/KM_JSS-015.pdf
MLDS/vignettes/Figures/KM_JSS-014.pdf
MLDS/vignettes/Figures/KM_JSS-005.pdf
MLDS/vignettes/Figures/KM_JSS-019.pdf
MLDS/vignettes/Figures/KM_JSS-002.pdf
MLDS/vignettes/Figures/KM_JSS-006.pdf
MLDS/vignettes/MLDS.Stex
MLDS/vignettes/MLDS.bib
MLDS/MD5
MLDS/build
MLDS/build/vignette.rds
MLDS/DESCRIPTION
MLDS/man
MLDS/man/logLik.mlds.Rd
MLDS/man/predict.mlds.Rd
MLDS/man/binom.diagnostics.Rd
MLDS/man/SwapOrder.Rd
MLDS/man/pmc.Rd
MLDS/man/boot.mlds.Rd
MLDS/man/make.ix.mat.Rd
MLDS/man/rbind.mlds.df.Rd
MLDS/man/print.mlds.Rd
MLDS/man/mlds.Rd
MLDS/man/as.mlds.df.Rd
MLDS/man/Transparency.Rd
MLDS/man/SimMLDS.Rd
MLDS/man/summary.mlds.bt.Rd
MLDS/man/kk.Rd
MLDS/man/fitted.mlds.Rd
MLDS/man/MLDS-package.Rd
MLDS/man/runQuadExperiment.Rd
MLDS/man/simu.6pt.Rd
MLDS/man/lik6pt.Rd
MLDS/man/DisplayOneQuad.Rd
MLDS/man/plot.mlds.Rd
MLDS/man/AutumnLab.Rd
MLDS/man/summary.mlds.Rd
MLDS/man/Get6pts.Rd
MLDS/man/ix.mat2df.Rd