R package SSDL implements the Sketched Stochastic Dictionary Learning method that builds a dictionary from
large-scale data collection by operating on a compressed data version referred to as a data sketch.
The chickn package is used to carry out the data compression.
SSDL package is designed to handle voluminous data encoded as a matrix, which cannot be loaded in memory.
To do this, SSDL package relies on the Filebacked Big Matrix class of bigstatsr package,
which allows to access and manipulate matrix-like data stored in files on disk.