The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
DOI: 10.32614/CRAN.package.MixedPsy
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
In views: Psychometrics
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-oldrel (arm64): MixedPsy_1.1.0.tgz, r-release (x86_64): MixedPsy_1.1.0.tgz, r-oldrel (x86_64): MixedPsy_1.1.0.tgz
Old sources: MixedPsy archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MixedPsy to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.