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r_test / packages / r-spcavrp 0.4

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.

Installers

  • noarch v0.4

conda install

To install this package run one of the following:
conda install r_test::r-spcavrp

Description


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