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r / packages / r-spcavrp

Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2018) <arXiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.

Type Size Name Uploaded Downloads Labels
conda 61.1 kB | noarch/r-spcavrp-0.4-r43h142f84f_0.tar.bz2  1 year and 2 months ago 22 main
conda 60.7 kB | noarch/r-spcavrp-0.4-r42h142f84f_0.tar.bz2  2 years and 9 months ago 53 main
conda 60.8 kB | noarch/r-spcavrp-0.4-r36h6115d3f_0.tar.bz2  5 years and 28 days ago 116 main

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