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poLCAParallel  

Polytomous Variable Latent Class Analysis Parallel
View on CRAN: Click here


Download and install poLCAParallel package within the R console
Install from CRAN:
install.packages("poLCAParallel")

Install from Github:
library("remotes")
install_github("cran/poLCAParallel")

Install by package version:
library("remotes")
install_version("poLCAParallel", "1.2.6")



Attach the package and use:
library("poLCAParallel")
Maintained by
Sherman Lo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-19
Latest Update: 2026-02-19
Description:
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 <https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/>.
How to cite:
Sherman Lo (2026). poLCAParallel: Polytomous Variable Latent Class Analysis Parallel. R package version 1.2.6, https://cran.r-project.org/web/packages/poLCAParallel. Accessed 14 Mar. 2026.
Previous versions and publish date:
1.2.6 (2026-02-19 21:00)
Other packages that cited poLCAParallel R package
View poLCAParallel citation profile
Other R packages that poLCAParallel depends, imports, suggests or enhances
Complete documentation for poLCAParallel
Functions, R codes and Examples using the poLCAParallel R package
Full poLCAParallel package functions and examples
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