# irlba v2.3.3

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## Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices

Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.

## Functions in irlba

 Name Description summary.irlba_prcomp Summary method for truncated pca objects computed by prcomp_irlba. ssvd Sparse regularized low-rank matrix approximation. prcomp_irlba Principal Components Analysis svdr Find a few approximate largest singular values and corresponding singular vectors of a matrix. partial_eigen Find a few approximate largest eigenvalues and corresponding eigenvectors of a symmetric matrix. irlba Find a few approximate singular values and corresponding singular vectors of a matrix. No Results!