c(person("Daniel","Osorio", email="daniecos@uio.no",role=c("aut","cre"), comment = c(ORCID = "0000-0003-4424-8422")),
person("Paola","Rondon-Villarreal",role=c("aut","ths"), comment = c(ORCID = "0000-0001-8209-3885")),
person("Rodrigo","Torres",role=c("aut","ths"), comment = c(ORCID = "0000-0003-1113-3020")),
person("J. Sebastian","Paez",email="jpaezpae@purdue.edu",role=c("ctb"), comment = c(ORCID = "0000-0002-0065-1474")),
person("Luis Pedro", "Coelho", email="luis@luispedro.org", role = c("ctb"), comment = c(ORCID = "0000-0002-9280-7885")),
person("Richèl J.C.", "Bilderbeek", email = "richel@richelbilderbeek.nl", role = c("ctb"), comment = c(ORCID = "0000-0003-1107-7049")),
person("Florian C.", "Sigloch",role = c("ctb"), comment = c(ORCID = "0000-0001-8130-6885"))
)

PerFit contains several person fit indices that allow assessing whether
individual response patterns to tests or questionnaires are (im)plausible given
the other respondents in the sample or a specified Item Response Theory model.

Several person-fit statistics (PFSs) are offered. These statistics allow assessing whether
individual response patterns to tests or questionnaires are (im)plausible given
the other respondents in the sample or given a specified item response theory model. Some PFSs apply to
dichotomous data, such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs
(personal biserial correlation, caution index, (normed) number of Guttman errors,
agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht). PFSs suitable to polytomous data include
extensions of lz, U3, and (normed) number of Guttman errors.

stats, graphics, fda, Hmisc, irtoys, MASS, Matrix

Several person-fit statistics
(PFSs; Meijer and Sijtsma, 2001, <doi:10.1177/01466210122031957>)
are offered. These statistics allow assessing whether
individual response patterns to tests or questionnaires are (im)plausible given
the other respondents in the sample or given a specified item response theory model. Some PFSs apply to
dichotomous data, such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs
(personal biserial correlation, caution index, (normed) number of Guttman errors,
agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht). PFSs suitable to polytomous data include
extensions of lz, U3, and (normed) number of Guttman errors.