poLCAParallel
1.2.7Polytomous Variable Latent Class Analysis Parallel
Overview
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/.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR r-oldrel-macos-x86_64
- ERROR r-release-macos-x86_64
- ERROR2026-03-143 OK · 0 NOTE · 0 WARNING · 4 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
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1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/qmul/polcaparallel on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.2.7Latest
- unarchivedReturned to CRAN2026-03-13
- archivedRemoved from CRAN2026-03-06issues were not corrected in time
- 1.2.62026-02-19
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-13
- Total releases
- 2 / 1 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.1.2
- Bundled data
- 19 KB / 5 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet