MLDS: Maximum Likelihood Difference Scaling
Version 0.4.5

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.

AuthorKenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang
Date of publication2015-08-19 18:38:35
MaintainerKen Knoblauch <ken.knoblauch@inserm.fr>
LicenseGPL (>= 2)
Version0.4.5
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MLDS")

Getting started

Package overview

Popular man pages

ix.mat2df: Transform data.frame back to Raw Difference Scale Format
kk: Difference Scale Judgment Data Sets
logLik.mlds: Compute Log-Likelihood for an mlds object
mlds: Fit Difference Scale by Maximum Likelihood
MLDS-package: ~~ MLDS ~~ Maximum Likelihood Differerence Scaling
plot.mlds: Plot a mlds Object
SimMLDS: Simulate Output of MLDS Experiment
See all...

All man pages Function index File listing

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

Functions

AutumnLab Man page
DefineMyScale Man page Source code
DisplayOneQuad Man page Source code
DisplayOneTriad Man page Source code
Get6pts Man page
MLDS Man page
MLDS-package Man page
Rbind Man page Source code
SimMLDS Man page Source code
SwapOrder Man page
Transparency Man page
as.mlbs.df Man page
as.mlbs.df.data.frame Man page
as.mlds.df Man page
as.mlds.df.data.frame Man page
binom.diagnostics Man page Source code
boot.mlbs Man page
boot.mlds Man page
df2mlds.df Man page
fitted.mlbs Man page
fitted.mlds Man page
ix.mat2df Man page
kk Man page
kk1 Man page
kk2 Man page
kk3 Man page
kktriad Man page
lik6pt Man page
lines.mlbs Man page
lines.mlds Man page
logLik.mlbs Man page
logLik.mlds Man page
make.ix.mat Man page
mlds Man page
mlds.data.frame Man page
mlds.formula Man page
mlds.mlbs.df Man page
mlds.mlds.df Man page
plot.mlbs Man page
plot.mlds Man page
plot.mlds.diag Man page Source code
pmc Man page
points.mlbs Man page
points.mlds Man page
predict.mlbs Man page
predict.mlds Man page
print.mlbs Man page
print.mlds Man page
print.summary.mlbs Man page
print.summary.mlds Man page
rbind.mlbs.df Man page
rbind.mlds.df Man page Source code
runQuadExperiment Man page Source code
runSampleExperiment Man page Source code
runTriadExperiment Man page Source code
simu.6pt Man page
summary.mlbs Man page
summary.mlds Man page
summary.mlds.bt Man page

Files

inst
inst/CITATION
inst/NEWS
inst/doc
inst/doc/MLDS.pdf
inst/doc/MLDS.Stex
inst/doc/MLDS.R
NAMESPACE
data
data/kk3.rda
data/Transparency.rda
data/kk1.rda
data/kk2.rda
data/AutumnLab.rda
data/kktriad.rda
R
R/print.summary.mlds.R
R/print.mlds.R
R/vcov.mlds.R
R/logLik.mlds.R
R/binom.diagnostics.R
R/runQuadExperiment.R
R/as.mlds.df.R
R/lik6pt.R
R/boot.mlds.R
R/mlds.R
R/SimMLDS.R
R/Rbind.R
R/runSampleExperiment.R
R/make.ix.mat.R
R/simu.6pt.R
R/coef.mlds.R
R/rbind.mlds.df.R
R/Get6pts.R
R/pmc.R
R/SwapOrder.R
R/predict.mlds.R
R/fitted.mlds.R
R/ix.mat2df.R
R/plot.mlds.R
R/summary.mlds.R
R/runTriadExperiment.R
vignettes
vignettes/Figures
vignettes/Figures/KM_JSS-007.pdf
vignettes/Figures/KM_JSS-020.pdf
vignettes/Figures/KM_JSS-003.pdf
vignettes/Figures/KM_JSS-021.pdf
vignettes/Figures/boothist.pdf
vignettes/Figures/KM_JSS-015.pdf
vignettes/Figures/KM_JSS-014.pdf
vignettes/Figures/KM_JSS-005.pdf
vignettes/Figures/KM_JSS-019.pdf
vignettes/Figures/KM_JSS-002.pdf
vignettes/Figures/KM_JSS-006.pdf
vignettes/MLDS.Stex
vignettes/MLDS.bib
MD5
build
build/vignette.rds
DESCRIPTION
man
man/logLik.mlds.Rd
man/predict.mlds.Rd
man/binom.diagnostics.Rd
man/SwapOrder.Rd
man/pmc.Rd
man/boot.mlds.Rd
man/make.ix.mat.Rd
man/rbind.mlds.df.Rd
man/print.mlds.Rd
man/mlds.Rd
man/as.mlds.df.Rd
man/Transparency.Rd
man/SimMLDS.Rd
man/summary.mlds.bt.Rd
man/kk.Rd
man/fitted.mlds.Rd
man/MLDS-package.Rd
man/runQuadExperiment.Rd
man/simu.6pt.Rd
man/lik6pt.Rd
man/DisplayOneQuad.Rd
man/plot.mlds.Rd
man/AutumnLab.Rd
man/summary.mlds.Rd
man/Get6pts.Rd
man/ix.mat2df.Rd
MLDS documentation built on May 19, 2017, 7:10 a.m.

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