The R Journal: article published in 2016, volume 8:1

quickpsy: An R Package to Fit Psychometric Functions for Multiple Groups
Daniel Linares and Joan López-Moliner , The R Journal (2016) 8:1, pages 122-131.

Abstract 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.

Received: 2015-05-12; online 2015-11-08
CRAN packages: quickpsy, psyphy, modelfree, MPDiR, gridExtra, dplyr, ggplot2
CRAN Task Views implied by cited CRAN packages: Psychometrics, Graphics, Phylogenetics

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2016-008,
  author = {Daniel Linares and Joan López-Moliner},
  title = {{quickpsy: An R Package to Fit Psychometric Functions for
          Multiple Groups}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-008},
  url = {https://doi.org/10.32614/RJ-2016-008},
  pages = {122--131},
  volume = {8},
  number = {1}
}