ZarrArray

ZarrArray leverages the Rarr package to bring Zarr datasets in R as DelayedArray objects, enabling array-like representation of Zarr datasets with support for delayed and block-processed operations.

Key Features:

• ZarrArray class: The main class provides an array-like object that represents a Zarr dataset in R.
• DelayedArray integration: ZarrArray objects are DelayedArray derivatives and support all delayed or block-processed operations supported by DelayedArray objects.
• Rarr package dependency: The package leverages the Rarr package for Zarr dataset access in R.

Scientific Applications:

• Large-scale array data analysis: Enables processing of Zarr-format scientific datasets using R's DelayedArray framework for out-of-memory and block-processed computations.

Methodology:

ZarrArray uses the Rarr package to import Zarr datasets and wraps them as DelayedArray objects for lazy evaluation and block processing in R.