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).


MixedPsy

The aim of the MixedPsy project is to provide statistical tools (such as R codes, models and tutorials) for the psychophysics community. This project has a special focus on open-source programming language. For the moment, the codes and documentation are restricted to R, tough other open programming languages (such as Julia) might be considered in the future.

19 April 2010 Work In Progress. See https://mixedpsychophysics.wordpress.com/ for a stable release and documentation.

07 November 2017 MixedPsy 1.0.0 released on CRAN

07 November 2021 Version 1.1.0 released

Reference manual

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install.packages("MixedPsy")

1.3.0 by Alessandro Moscatelli, 10 months ago


https://mixedpsychophysics.wordpress.com


Report a bug at https://github.com/moskante/MixedPsy/issues


Browse source code at https://github.com/cran/MixedPsy


Authors: Alessandro Moscatelli [aut, cre] (ORCID: , Priscilla Balestrucci [aut] (ORCID:


Documentation:   PDF Manual  


GPL (>= 2) license


Imports beepr, boot, brglm, lme4, Matrix, mnormt, ggplot2, magrittr, dplyr, purrr, rlang, tidyselect


See at CRAN