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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.

Version: 1.4.6
Depends: ltm, mirt
Imports: stats, graphics, fda, Hmisc, irtoys, MASS, Matrix
Published: 2021-10-15
DOI: 10.32614/CRAN.package.PerFit
Author: Jorge N. Tendeiro
Maintainer: Jorge N. Tendeiro <tendeiro at hiroshima-u.ac.jp>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: PerFit citation info
Materials: README
CRAN checks: PerFit results

Documentation:

Reference manual: PerFit.pdf

Downloads:

Package source: PerFit_1.4.6.tar.gz
Windows binaries: r-devel: PerFit_1.4.6.zip, r-release: PerFit_1.4.6.zip, r-oldrel: PerFit_1.4.6.zip
macOS binaries: r-release (arm64): PerFit_1.4.6.tgz, r-oldrel (arm64): PerFit_1.4.6.tgz, r-release (x86_64): PerFit_1.4.6.tgz, r-oldrel (x86_64): PerFit_1.4.6.tgz
Old sources: PerFit archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.