MixedPsy: Statistical Tools for the Analysis of Psychophysical Data

Tools for the analysis of psychophysical data in R. This package allows to estimate the Point of Subjective Equivalence (PSE) and the Just Noticeable Difference (JND), either from a psychometric function or from a Generalized Linear Mixed Model (GLMM). Additionally, the package allows plotting the fitted models and the response data, simulating psychometric functions of different shapes, and simulating data sets. For a description of the use of GLMMs applied to psychophysical data, refer to Moscatelli et al. (2012).

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: beepr, boot, brglm, lme4, Matrix, mnormt, ggplot2
Published: 2021-11-08
Author: Alessandro Moscatelli ORCID iD [aut, cre], Priscilla Balestrucci ORCID iD [aut]
Maintainer: Alessandro Moscatelli <moskante at gmail.com>
BugReports: https://github.com/moskante/MixedPsy/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://mixedpsychophysics.wordpress.com
NeedsCompilation: no
Citation: MixedPsy citation info
Materials: README NEWS
CRAN checks: MixedPsy results

Documentation:

Reference manual: MixedPsy.pdf

Downloads:

Package source: MixedPsy_1.1.0.tar.gz
Windows binaries: r-devel: MixedPsy_1.1.0.zip, r-release: MixedPsy_1.1.0.zip, r-oldrel: MixedPsy_1.1.0.zip
macOS binaries: r-release (arm64): MixedPsy_1.1.0.tgz, r-release (x86_64): MixedPsy_1.1.0.tgz, r-oldrel: MixedPsy_1.1.0.tgz
Old sources: MixedPsy archive

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