quickpsy is a package to parametrically fit psychometric functions. In comparison with previous R packages, quickpsy was built to easily fit and plot data for multiple groups. Here, we describe the standard parametric model used to fit psychometric functions and the standard estimation of its parameters using maximum likelihood. We also provide examples of usage of quickpsy, including how allowing the lapse rate to vary can sometimes eliminate the bias in parameter estimation, but not in general. Finally, we describe some implementation details, such as how to avoid the problems associated to round-off errors in the maximisation of the likelihood or the use of closures and non-standard evaluation functions.
quickpsy, psyphy, modelfree, MPDiR, gridExtra, dplyr, ggplot2
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For attribution, please cite this work as
Linares & López-Moliner, "quickpsy: An R Package to Fit Psychometric Functions for Multiple Groups", The R Journal, 2015
BibTeX citation
@article{RJ-2016-008,
author = {Linares, Daniel and López-Moliner, Joan},
title = {quickpsy: An R Package to Fit Psychometric Functions for Multiple Groups},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2016-008},
doi = {10.32614/RJ-2016-008},
volume = {8},
issue = {1},
issn = {2073-4859},
pages = {122-131}
}