This package is considered a duplicate. The official version of this package is found at:https://zdebruine.r-universe.dev/RcppML
Package: RcppML 0.3.7
Zachary DeBruine
RcppML: Rcpp Machine Learning Library
Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Authors:
RcppML_0.3.7.tar.gz
RcppML_0.3.7.tar.gz(r-4.5-noble)RcppML_0.3.7.tar.gz(r-4.4-noble)
RcppML_0.3.7.tgz(r-4.4-emscripten)RcppML_0.3.7.tgz(r-4.3-emscripten)
RcppML.pdf |RcppML.html✨
RcppML/json (API)
| # Install 'RcppML' in R: |
| install.packages('RcppML', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zdebruine/rcppml/issues
Last updated 3 years agofrom:10d0c0f9a7. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 12 2024 |
Exports:bipartitiondclustgetRcppMLthreadsmsenmfnnlsprojectsetRcppMLthreads
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bipartition a sample set | bipartition |
| Divisive clustering | dclust |
| Get the number of threads RcppML should use | getRcppMLthreads |
| Mean Squared Error loss of a factor model | mse |
| Non-negative matrix factorization | nmf |
| Non-negative least squares | nnls |
| Project a linear factor model | project |
| RcppML: Rcpp Machine Learning Library | RcppML-package RcppML |
| Set the number of threads RcppML should use | setRcppMLthreads |
