Package: pcFactorStan 1.5.4

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>.

Authors:Joshua N. Pritikin [aut, cre], Daniel C. Furr [ctb], Trustees of Columbia University [cph]

pcFactorStan_1.5.4.tar.gz
pcFactorStan_1.5.4.zip(r-4.7)pcFactorStan_1.5.4.zip(r-4.6)pcFactorStan_1.5.4.zip(r-4.5)
pcFactorStan_1.5.4.tgz(r-4.6-x86_64)pcFactorStan_1.5.4.tgz(r-4.6-arm64)pcFactorStan_1.5.4.tgz(r-4.5-x86_64)pcFactorStan_1.5.4.tgz(r-4.5-arm64)
pcFactorStan_1.5.4.tar.gz(r-4.7-arm64)pcFactorStan_1.5.4.tar.gz(r-4.7-x86_64)pcFactorStan_1.5.4.tar.gz(r-4.6-arm64)pcFactorStan_1.5.4.tar.gz(r-4.6-x86_64)
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pcFactorStan/json (API)
NEWS

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

Bug tracker:https://github.com/jpritikin/pcfactorstan/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bayesian-inferencefactor-analysispaired-comparisonsstancpp

4.00 score 2 stars 8 scripts 500 downloads 25 exports 55 dependencies

Last updated from:c96c6fcbfc. Checks:11 WARNING, 1 ERROR, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
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source / vignettesERROR1070
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windows-develWARNING988
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wasm-releaseFAIL179

Exports:calibrateItemscmp_probsfilterGraphfindModelgenerateCovItemsgenerateFactorItemsgenerateItemgenerateSingleFactorItemsitemModelExplorernormalizeDataoutlierTableparDistributionCustomparDistributionForparIntervalpcStanprepCleanDataprepDataprepFactorModelprepSingleFactorModelresponseCurveroundRobinGraphtoLootwoLevelGraphunfactorwithoutIndex

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableigraphinlineisobandlabelinglatticelifecycleloomagrittrMatrixmatrixStatsmvtnormnumDerivpillarpkgbuildpkgconfigplyrposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbleutf8vctrsviridisLitewithr

A brief manual

Rendered frommanual.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2020-09-14
Started: 2019-07-21