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delarr (development version)

Broadcasting

• Broadcasting a bare length-n vector against a square n-by-n matrix is ambiguous (the length matches both dimensions). delarr continues to resolve this to row-aligned (one value per row, matching base R recycling), but now emits a warning at operation-construction time so the choice is explicit. Pass a conformable matrix (e.g. matrix(v, n, n, byrow = TRUE)) for column alignment. Silence the warning with options(delarr.warn_ambiguous_broadcast = FALSE).

delarr 0.1.0

First public release.

Features

• Lazy delarr arrays with a fused, chunk-aware execution engine.
• Pipelined verbs: d_map(), d_map2(), d_center(), d_scale(), d_zscore(), d_detrend(), d_reduce(), d_where(), and d_aperm(), all of which stay lazy until collect().
• Lazy, block-aware matrix products via d_matmul().
• Storage backends: delarr_mem() (in-memory matrices and N-d arrays), delarr_hdf5() (HDF5 datasets, including N-d), delarr_mmap() (memory-mapped 2D matrices), and delarr_backend() for custom pull functions.
• Streaming output to disk with hdf5_writer() and collect(into = ...).
• block_apply() for chunk-wise computation.
• Getting-started and advanced vignettes plus benchmark scripts in notes/.

Dependencies

• The core package depends only on rlang. The hdf5r and mmap backends are now optional (Suggests); the corresponding constructors raise an informative error when the package is not installed.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.