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-4.5-noble)MLDS_0.5.1.tar.gz(r-4.4-noble)
MLDS_0.5.1.tgz(r-4.4-emscripten)MLDS_0.5.1.tgz(r-4.3-emscripten)
MLDS.pdf |MLDS.html✨
MLDS/json (API)
NEWS

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

Peer review:

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

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

3.26 score 36 scripts 579 downloads 5 mentions 25 exports 1 dependencies

Last updated 1 years agofrom:774f49ec8b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-linuxOKOct 13 2024

Exports:as.mlbs.dfas.mlds.dfbinom.diagnosticsboot.mlbsboot.mldsDefineMyScaledf2mlds.dfDisplayOneQuadDisplayOneTriadGet6ptsix.mat2dflik6ptmake.ix.matmldsmlds.formulamlds.mlbs.dfmlds.mlds.dfpmcRbindrunQuadExperimentrunSampleExperimentrunTriadExperimentSimMLDSsimu.6ptSwapOrder

Dependencies:MASS

MLDS: Maximum Likelihood Difference Scaling in R

Rendered fromMLDS.Stexusingutils::Sweaveon Oct 13 2024.

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

Readme and manuals

Help Manual

Help pageTopics
~~ MLDS ~~ Maximum Likelihood Differerence ScalingMLDS-package MLDS
Coerces a data.frame to mlds.dfas.mlbs.df as.mlbs.df.data.frame as.mlds.df as.mlds.df.data.frame df2mlds.df
Difference Scale Judgement Data SetAutumnLab
Diagnostics for Binary GLMbinom.diagnostics plot.mlds.diag
Resampling of an Estimated Difference Scaleboot.mlbs boot.mlds
Helper Functions for Perception of Correlation Difference Scale ExperimentDefineMyScale DisplayOneQuad DisplayOneTriad
Fitted Responses for a Difference Scalefitted.mlbs fitted.mlds
Find All 6-point Conditions in data.frameGet6pts
Transform data.frame back to Raw Difference Scale Formatix.mat2df
Difference Scale Judgment Data Setskk kk1 kk2 kk3 kktriad
Compute Log Likelihood for 6-point Testlik6pt
Compute Log-Likelihood for an mlds objectlogLik.mlbs logLik.mlds
Create data.frame for Fitting Difference Scale by glmmake.ix.mat
Fit Difference Scale by Maximum Likelihoodmlds mlds.data.frame mlds.formula mlds.mlbs.df mlds.mlds.df
Plot a mlds Objectlines.mlbs lines.mlds plot.mlbs plot.mlds points.mlbs points.mlds
Proportion of Misclassifications According to an Estimated MLDS Fitpmc
Predict method for MLDS Fitspredict.mlbs predict.mlds
Difference Scale default print statementprint.mlbs print.mlds
Concatenate Objects of Class 'mlbs.df' or 'mlds.df' by RowRbind rbind.mlbs.df rbind.mlds.df
Start and run a Difference Scale ExperimentrunQuadExperiment runSampleExperiment runTriadExperiment
Simulate Output of MLDS ExperimentSimMLDS
Perform Bootstrap Test on 6-point Likelihood for MLDS FITsimu.6pt
Summary for a mlds fitprint.summary.mlbs print.summary.mlds summary.mlbs summary.mlds
Method to Extract Bootstrap Values for MLDS Scale Valuessummary.mlds.bt
Order Stimuli and Adjust Responses from Difference Scaling data.frameSwapOrder
Difference Scaling of TransparencyTransparency