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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite spca in publications use:
Merola G (2015). “Least Squares Sparse Principal Component Analysis: a Backward Elimination approach to attain large loadings.” Australia & New Zealand Journal of Statistics, 57, 391–429. doi:10.1111/anzs.12128.
Merola G, Chen G (2019). “Projection sparse principal component analysis: An efficient least squares method.” Journal of Multivariate Analysis, 173, 366–382. doi:10.1016/j.jmva.2019.04.001.
Corresponding BibTeX entries:
@Article{,
title = {Least Squares Sparse Principal Component Analysis: a
Backward Elimination approach to attain large loadings},
author = {Giovanni Maria Merola},
journal = {Australia & New Zealand Journal of Statistics},
year = {2015},
volume = {57},
pages = {391--429},
doi = {10.1111/anzs.12128},
}
@Article{,
title = {Projection sparse principal component analysis: An
efficient least squares method},
author = {Giovanni Maria Merola and Gemai Chen},
journal = {Journal of Multivariate Analysis},
year = {2019},
volume = {173},
pages = {366--382},
doi = {10.1016/j.jmva.2019.04.001},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.