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.

pcFactorStan: Stan Models for the Paired Comparison Factor Model

Provides convenience functions and pre-programmed Stan models related to the paired comparison factor model. Its purpose is to make fitting paired comparison data using Stan easy. This package is described in Pritikin (2020) <doi:10.1016/j.heliyon.2020.e04821>.

Version: 1.5.4
Depends: R (≥ 3.4), methods, Rcpp (≥ 0.12.0)
Imports: rstan (≥ 2.26.0), rstantools (≥ 2.1.1), reshape2, mvtnorm, igraph, loo, lifecycle
LinkingTo: Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.2), StanHeaders (≥ 2.26.0), BH (≥ 1.66.0), rstan (≥ 2.26.0)
Suggests: knitr, rmarkdown, testthat, shiny, ggplot2, covr, qgraph, Matrix
Published: 2023-09-13
DOI: 10.32614/CRAN.package.pcFactorStan
Author: Joshua N. Pritikin ORCID iD [aut, cre], Daniel C. Furr [ctb], Trustees of Columbia University [cph]
Maintainer: Joshua N. Pritikin <jpritikin at pobox.com>
BugReports: https://github.com/jpritikin/pcFactorStan/issues
License: GPL (≥ 3)
URL: https://github.com/jpritikin/pcFactorStan
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: pcFactorStan citation info
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: pcFactorStan results

Documentation:

Reference manual: pcFactorStan.pdf
Vignettes: Getting started with pcFactorStan

Downloads:

Package source: pcFactorStan_1.5.4.tar.gz
Windows binaries: r-devel: pcFactorStan_1.5.4.zip, r-release: pcFactorStan_1.5.4.zip, r-oldrel: pcFactorStan_1.5.4.zip
macOS binaries: r-release (arm64): pcFactorStan_1.5.4.tgz, r-oldrel (arm64): pcFactorStan_1.5.4.tgz, r-release (x86_64): pcFactorStan_1.5.4.tgz, r-oldrel (x86_64): pcFactorStan_1.5.4.tgz
Old sources: pcFactorStan archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pcFactorStan 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.