dc.contributor.author
Linares, Daniel
dc.contributor.author
López-Moliner, Joan
dc.date.issued
2017-09-29T12:13:44Z
dc.date.issued
2017-09-29T12:13:44Z
dc.date.issued
2017-09-29T12:13:44Z
dc.identifier
https://hdl.handle.net/2445/116040
dc.description.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
dc.format
application/pdf
dc.publisher
The R Foundation
dc.relation
Reproducció del document publicat a: https://journal.r-project.org/archive/2016/RJ-2016-008/index.html
dc.relation
The R Journal, 2016, vol. 8, num. 1, p. 122-131
dc.rights
cc-by (c) Linares, Daniel et al., 2016
dc.rights
http://creativecommons.org/licenses/by/3.0/es
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació)
dc.subject
R (Llenguatge de programació)
dc.subject
R (Computer program language)
dc.title
quickpsy: An R Package to Fit Psychometric Functions for Multiple Groups
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion