Jim Lemon, Ben Bolker, Sander Oom,
	Eduardo Klein, Barry Rowlingson,
	Hadley Wickham, Anupam Tyagi,
	Olivier Eterradossi, Gabor Grothendieck,
	Michael Toews, John Kane, Rolf Turner,
	Carl Witthoft, Julian Stander, Thomas Petzoldt,
	Remko Duursma, Elisa Biancotto, Ofir Levy,
	Christophe Dutang, Peter Solymos, Robby Engelmann, 
	Michael Hecker, Felix Steinbeck, Hans Borchers,
	Henrik Singmann, Ted Toal, Derek Ogle, Darshan Baral,
	Ulrike Groemping, Bill Venables

Lots of plots, various labeling, axis and color scaling functions.

A unified framework for working transparently with on-disk and
in-memory array-like datasets

Wrapping an array-like object (typically an on-disk object) in
	a DelayedArray object allows one to perform common array operations
	on it without loading the object in memory. In order to reduce memory
	usage and optimize performance, operations on the object are either
	delayed or executed using a block processing mechanism. Note that this
	also works on in-memory array-like objects like DataFrame objects
	(typically with Rle columns), Matrix objects, and ordinary arrays and
	data frames.

Hervé Pagès <hpages@fredhutch.org>, with contributions from
	Peter Hickey <peter.hickey@gmail.com> and
	Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>

R (>= 3.4), methods, stats4, matrixStats, BiocGenerics (>=
0.31.5), S4Vectors (>= 0.25.15), IRanges (>= 2.17.3)

BiocParallel, HDF5Array, genefilter, SummarizedExperiment,
airway, pryr, DelayedMatrixStats, knitr, BiocStyle, RUnit

utils.R dgCMatrix-utils.R compress_atomic_vector.R
Nindex-utils.R array_selection.R aperm2.R bind-arrays.R
Array-class.R extract_array.R ArrayGrid-class.R show-utils.R
SparseArraySeed-class.R read_block.R mapToGrid.R
makeCappedVolumeBox.R blockGrid.R blockApply.R
DelayedOp-class.R showtree.R simplify.R DelayedArray-class.R
DelayedArray-subsetting.R chunkGrid.R RealizationSink-class.R
realize.R DelayedArray-utils.R DelayedMatrix-utils.R
DelayedArray-stats.R DelayedMatrix-stats.R RleArraySeed-class.R
RleArray-class.R zzz.R