epca is for comprehending any data matrix that contains low-rank and sparse underlying signals of interest.
The package currently features two key tools: (1) sca for sparse principal component analysis and
(2) sma for sparse matrix approximation, a two-way data analysis for simultaneously row and column dimensionality reductions.
Chen, F. and Rohe K. (2020) "A New Basis for Sparse PCA".