Package: PerFit 1.4.7

PerFit: Person Fit

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.

Authors:Jorge N. Tendeiro [aut, cre]

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PerFit/json (API)

# Install 'PerFit' in R:
install.packages('PerFit', repos = c('https://jorgetendeiro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jorgetendeiro/perfit/issues

Datasets:

On CRAN:

Conda:

3.66 score 2 stars 46 scripts 295 downloads 1 mentions 23 exports 130 dependencies

Last updated 4 hours agofrom:7cd38fa8d1. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winOKApr 02 2025
R-4.5-macOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-winOKApr 02 2025
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R-4.4-linuxOKApr 02 2025
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Exports:A.KBC.SatoCstarcutoffD.KBE.KBflagged.respGGnormedGnormed.polyGpolyHtlzlzpolylzstarNCIPerFit.PFSPerFit.SEPRFplotr.pbisU3U3polyZU3

Dependencies:admiscashaudiobackportsbase64encbeeprbitopsbriobslibcachemcallrcheckmatecliclustercodetoolscolorspacecrayondata.tabledcurverDerivdescdeSolvediffobjdigestdplyrevaluateexpmfansifarverfastmapfdafdsFNNfontawesomeforeignFormulafsfuturefuture.applygenericsggplot2globalsglueGPArotationgridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsirtoysisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelistenvlocfitltmmagrittrMASSMatrixmclustmemoisemgcvmimemirtmsmmulticoolmunsellmvtnormnlmennetparallellypbapplypcaPPpermutepillarpkgbuildpkgconfigpkgloadpolycorpracmapraiseprocessxprogressrpsR.methodsS3R.ooR.utilsR6rainbowrappdirsRColorBrewerRcppRcppArmadilloRCurlrlangrmarkdownrpartrprojrootrstudioapisassscalessessioninfoSimDesignsmstringistringrsurvivaltestthattibbletidyselecttinytexutf8vctrsveganviridisviridisLitewaldowithrxfunyaml