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poLCAParallel: Polytomous Variable Latent Class Analysis Parallel
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/>.
Getting started
Browse package contents
Package details |
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| Author | Sherman Lo [aut, cre], Drew Linzer [aut], Jeffrey Lewis. [aut] |
| Maintainer | Sherman Lo <s.lo@qmul.ac.uk> |
| License | GPL-2 |
| Version | 1.2.6 |
| URL | https://github.com/QMUL/poLCAParallel |
| Package repository | View on CRAN |
| Installation |
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