rcpp_hdf5dataset_tcrossprod: Transposed cross product for HDF5 datasets (R6 wrapper)

In BigDataStatMeth: Title: Scalable Statistical Computing with HDF5-Backed Matrices

Transposed cross product for HDF5 datasets (R6 wrapper)

Description

Computes A %*% t(B) using the dedicated BigDataStatMeth block-wise transposed cross-product algorithm. When A and B refer to the same dataset, the symmetric optimisation is applied automatically.

Usage

rcpp_hdf5dataset_tcrossprod(
  ptr_a,
  ptr_b,
  paral = NULL,
  block_size = NULL,
  threads = NULL,
  compression = NULL,
  outgroup = NULL,
  outdataset = NULL
)

Arguments

ptr_a	External pointer (SEXP) for matrix A
ptr_b	External pointer (SEXP) for matrix B
paral	Logical or NULL; enable OpenMP parallelisation
block_size	Integer or NULL; block size (NULL = auto)
threads	Integer or NULL; thread count when paral = TRUE
outgroup	Character or NULL. Output group in the HDF5 file. Default "OUTPUT".
outdataset	Character or NULL. Output dataset name. Default "tCrossProd_A" (single matrix) or "tCrossProd_A_x_B" (two matrices).

Value

Named list with filename and path of the result.

BigDataStatMeth documentation built on May 15, 2026, 1:07 a.m.