`FastPCA`: An R package for fast singular value decomposition

The `FastPCA` package provides an interface to optimized matrix multiplication libraries (`libtorch`) for the purpose of singular value decomposition. Using `FastPCA` to perform randomized singular value decomposition (SVD) with the `torch` or `pytorch` backend drastically reduces the computational time compared to base R `prcomp` and other truncated singular value decomposition. Developed for biological data such as single-cell RNA-sequencing, spatial transcriptomics, or matrix-assisted laser desorption/ionization (MALDI imaging), `FastPCA` can efficiently and accurately identify the leading singular values in high-dimensional data.