# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "poLCAParallel" in publications use:' type: software license: GPL-2.0-only title: 'poLCAParallel: Polytomous Variable Latent Class Analysis Parallel' version: 1.2.7 identifiers: - type: doi value: 10.32614/CRAN.package.poLCAParallel abstract: A 'C++' reimplementation of 'poLCA' - latent class analysis and latent class regression models for polytomous outcome variables, also known as latent structure analysis. It attempts to reproduce results and be as similar as possible to the original code, while running faster, especially with multiple repetitions, by utilising multiple threads. Further reading is available on the Queen Mary, University of London, IT Services Research blog . authors: - family-names: Lo given-names: Sherman email: s.lo@qmul.ac.uk - family-names: Linzer given-names: Drew email: drew@votamatic.org - family-names: Lewis. given-names: Jeffrey email: jblewis@ucla.edu preferred-citation: type: generic title: Speeding up and Parallelising R packages (using Rcpp and C++ | QMUL ITS Research Blog) authors: - family-names: Lo given-names: Sherman E. year: '2022' url: https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/ repository: https://cran.r-universe.dev repository-code: https://github.com/QMUL/poLCAParallel commit: fd93a07864eaf9802a7b47ed2a5e1cdbcff09cd1 url: https://github.com/QMUL/poLCAParallel date-released: '2026-03-13' contact: - family-names: Lo given-names: Sherman email: s.lo@qmul.ac.uk references: - type: article title: 'poLCA: An R Package for Polytomous Variable Latent Class Analysis' authors: - family-names: Linzer given-names: Drew A. - family-names: Lewis given-names: Jeffrey B. journal: Journal of Statistical Software year: '2011' volume: '42' issue: '10' url: https://www.jstatsoft.org/article/view/v042i10 start: '1' end: '29'