Package: MLDS 0.5.1

Kenneth Knoblauch

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.

Authors:Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang

MLDS_0.5.1.tar.gz
MLDS_0.5.1.tar.gz(r-4.7-any)MLDS_0.5.1.tar.gz(r-4.6-any)
MLDS_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MLDS/json (API)

# Install 'MLDS' in R:

install.packages('MLDS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

AutumnLab - Difference Scale Judgement Data Set
kk1 - Difference Scale Judgment Data Sets
kk2 - Difference Scale Judgment Data Sets
kk3 - Difference Scale Judgment Data Sets
kktriad - Difference Scale Judgment Data Sets
Transparency - Difference Scaling of Transparency

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.32 score 42 scripts 400 downloads 5 mentions 25 exports 1 dependencies

Last updated from:774f49ec8b. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	101
source / vignettes	OK	180
linux-release-x86_64	OK	105
wasm-release	OK	91

Exports:as.mlbs.df as.mlds.df binom.diagnostics boot.mlbs boot.mlds DefineMyScale df2mlds.df DisplayOneQuad DisplayOneTriad Get6pts ix.mat2df lik6pt make.ix.mat mlds mlds.formula mlds.mlbs.df mlds.mlds.df pmc Rbind runQuadExperiment runSampleExperiment runTriadExperiment SimMLDS simu.6pt SwapOrder

Dependencies:MASS

MLDS: Maximum Likelihood Difference Scaling in R

Rendered fromMLDS.Stexusingutils::Sweave

Last update: 2022-01-03
Started: 2011-10-14

Help page	Topics
~~ MLDS ~~ Maximum Likelihood Differerence Scaling	MLDS-package MLDS
Coerces a data.frame to mlds.df	as.mlbs.df as.mlbs.df.data.frame as.mlds.df as.mlds.df.data.frame df2mlds.df
Difference Scale Judgement Data Set	AutumnLab
Diagnostics for Binary GLM	binom.diagnostics plot.mlds.diag
Resampling of an Estimated Difference Scale	boot.mlbs boot.mlds
Helper Functions for Perception of Correlation Difference Scale Experiment	DefineMyScale DisplayOneQuad DisplayOneTriad
Fitted Responses for a Difference Scale	fitted.mlbs fitted.mlds
Find All 6-point Conditions in data.frame	Get6pts
Transform data.frame back to Raw Difference Scale Format	ix.mat2df
Difference Scale Judgment Data Sets	kk kk1 kk2 kk3 kktriad
Compute Log Likelihood for 6-point Test	lik6pt
Compute Log-Likelihood for an mlds object	logLik.mlbs logLik.mlds
Create data.frame for Fitting Difference Scale by glm	make.ix.mat
Fit Difference Scale by Maximum Likelihood	mlds mlds.data.frame mlds.formula mlds.mlbs.df mlds.mlds.df
Plot a mlds Object	lines.mlbs lines.mlds plot.mlbs plot.mlds points.mlbs points.mlds
Proportion of Misclassifications According to an Estimated MLDS Fit	pmc
Predict method for MLDS Fits	predict.mlbs predict.mlds
Difference Scale default print statement	print.mlbs print.mlds
Concatenate Objects of Class 'mlbs.df' or 'mlds.df' by Row	Rbind rbind.mlbs.df rbind.mlds.df
Start and run a Difference Scale Experiment	runQuadExperiment runSampleExperiment runTriadExperiment
Simulate Output of MLDS Experiment	SimMLDS
Perform Bootstrap Test on 6-point Likelihood for MLDS FIT	simu.6pt
Summary for a mlds fit	print.summary.mlbs print.summary.mlds summary.mlbs summary.mlds
Method to Extract Bootstrap Values for MLDS Scale Values	summary.mlds.bt
Order Stimuli and Adjust Responses from Difference Scaling data.frame	SwapOrder
Difference Scaling of Transparency	Transparency

Package: MLDS 0.5.1

MLDS: Maximum Likelihood Difference Scaling

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)