The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

rpf: Response Probability Functions

Factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable(). This software is described in Pritikin & Falk (2020) <doi:10.1177/0146621620929431>.

Version: 1.0.14
Depends: methods, parallel, R (≥ 2.14.0)
Imports: Rcpp (≥ 1.0.2), mvtnorm, lifecycle
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, roxygen2, ggplot2, reshape2, gridExtra, numDeriv, knitr, mirt, markdown
Published: 2023-08-21
DOI: 10.32614/CRAN.package.rpf
Author: Joshua Pritikin [cre, aut], Jonathan Weeks [ctb], Li Cai [ctb], Carrie Houts [ctb], Phil Chalmers [ctb], Michael D. Hunter [ctb], Carl F. Falk [ctb]
Maintainer: Joshua Pritikin <jpritikin at pobox.com>
License: GPL (≥ 3)
URL: https://github.com/jpritikin/rpf
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: rpf citation info
Materials: README
In views: Psychometrics
CRAN checks: rpf results

Documentation:

Reference manual: rpf.pdf
Vignettes: Custom Item Models (HTML)
Item Factor Analysis diagnostics (HTML)
Basic 1 dimensional plots (HTML)

Downloads:

Package source: rpf_1.0.14.tar.gz
Windows binaries: r-devel: rpf_1.0.14.zip, r-release: rpf_1.0.14.zip, r-oldrel: rpf_1.0.14.zip
macOS binaries: r-release (arm64): rpf_1.0.14.tgz, r-oldrel (arm64): rpf_1.0.14.tgz, r-release (x86_64): rpf_1.0.14.tgz, r-oldrel (x86_64): rpf_1.0.14.tgz
Old sources: rpf archive

Reverse dependencies:

Reverse depends: ifaTools
Reverse linking to: OpenMx
Reverse suggests: EasyMx, OpenMx

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rpf to link to this page.

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.
Health stats visible at Monitor.