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

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

## Documentation for package ‘irlba’ version 2.3.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

irlba | Find a few approximate singular values and corresponding singular vectors of a matrix.
partial_eigen | Find a few approximate largest eigenvalues and corresponding eigenvectors of a symmetric matrix.
prcomp_irlba | Principal Components Analysis
ssvd | Sparse regularized low-rank matrix approximation.
summary.irlba_prcomp | Summary method for truncated pca objects computed by 'prcomp_irlba'.
svdr | Find a few approximate largest singular values and corresponding singular vectors of a matrix.