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poLCAParallel
- Publication Year :
- 2023
- Publisher :
- Queen Mary University of London, ITS Research, 2023.
-
Abstract
- The library poLCAParallel reimplements poLCA and its bootstrap log-likelihood ratio test in C++. This was done using Rcpp and RcppArmadillo which allows C++ code to interact with R. Additional notes include: - The code uses Armadillo for linear algebra - Multiple repetitions are done in parallel using for multi-thread programming and to prevent data races - Response probabilities are reordered to increase cache efficiency - Use of std::map for the chi-squared calculations
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........b5a88d5cb7c622f643791c157c40f0e1
- Full Text :
- https://doi.org/10.17636/101polcaparallel