NEWS

SparseArray 1.4.0

The following operation are now multithreaded (via OpenMP): - SparseMatrix multiplication and crossprod() - the matrixStats methods for SparseMatrix objects See ?set_SparseArray_nthread for more information.
Define some of the basic coercion methods that used to be defined in the Matrix package but that the lazy Matrix maintainers have decided to deprecate in Matrix 1.7-0 (e.g. coercion from matrix to dgRMatrix).

Fix aperm(SVT_SparseArray) when inner dimensions are not permuted See https://github.com/Bioconductor/SparseArray/issues/6
Fix long-standing bug in C function _dotprod_leaf_vector_and_double_col(). In some circumstances the function was reading beyond a C array. Observed effects varied from no observed effects (on Linux) to breaking crossprod() unit tests on arm64 Mac (consistently), on Windows (sporadically), and also probably on PowerPC (or possibly a crash sometimes on this platform. See https://github.com/Bioconductor/SparseArray/issues/2

Add aperm() method for SVT_SparseArray objects.
Add abind() method for SparseArray objects.
Add dim() setter for SVT_SparseArray objects.
Introduce nzwhich() generic and method for SparseArray derivatives. Also provide a default method for ordinary arrays and other array-like objects.
Implement 'Logic' ops on SVT_SparseArray objects.
Implement 'Math'/'Math2' ops on SVT_SparseArray objects of type "double".
'Compare' ops now support SVT_SparseArray objects of type() "raw" or "complex".
All matrixStats methods (except row/colMedians()) now work on multidimensional SVT_SparseArray objects and support the 'dims' argument, like the row/colSums() and row/colMeans() functions in base R.
Add row/colAnys() + row/colAlls() + row/colAnyNAs() + row/colProds() methods for SVT_SparseArray objects.

Rename nzvals() slot getter (for COO_SparseArray objects) -> nzdata(). Also reintroduce nzvals() as a fast way to get 'x[nzwhich(x)]' on a sparse array-like object 'x'.
Re-implement all matrixStats methods (except row/colMedians()) for SVT_SparseArray objects in C.