Accessory Tools for Preprocessing Hyper-Spectral Images
Read and execute preprocessing procedures on hyper-spectral images.
These type of sensor data are usually recorded in a raw format. This package
contains some easy-to-use functions to promptly build the image with
some basic radiometric calibrations, setting up the geographic information.
Geometric correction can be done with band-to-band registration (translation
and rotation). Further functionalities allow to compute sliding windows
statistics over the image.
rgdal, OpenImageR, caTools, dfoptim, pbapply

Provides methods for organizing data in a hypercube
(i.e. a multi-dimensional cube). Cubes are generated from molten data frames.
Each cube can be manipulated with five operations: rotation (changeDimensionOrder()),
dicing and slicing (add.selection(), remove.selection()), drilling down (add.aggregation()),
and rolling up (remove.aggregation()).

Provides methods for organizing data in a hypercube
(i.e., a multi-dimensional cube). Cubes are generated from molten data frames.
Each cube can be manipulated with five operations: rotation (change.dimensionOrder()),
dicing and slicing (add.selection(), remove.selection()), drilling down (add.aggregation()),
and rolling up (remove.aggregation()).

Provides functions and methods for organizing data in hypercubes
(i.e., a multi-dimensional cube). Cubes are generated from molten data frames.
Each cube can be manipulated with five operations: rotation (change.dimensionOrder()),
dicing and slicing (add.selection(), remove.selection()), drilling down (add.aggregation()),
and rolling up (remove.aggregation()).

A generalization of the Dirichlet distribution
R (>= 2.7.0), adapt, methods, aylmer, abind, mvtnorm
A suite of routines for the hyperdirichlet distribution

R (>= 2.7.0), methods, aylmer, abind, mvtnorm

R (>= 2.7.0), methods, aylmer, abind, mvtnorm, cubature

A Generalization of the Dirichlet Distribution
A suite of routines for the hyperdirichlet distribution.

Machine Learning of Hyperrectangular Gating Strategies for
High-Dimensional Cytometry
Given a high-dimensional dataset that typically represents a cytometry dataset, and a subset of the datapoints, this algorithm outputs an hyperrectangle so that datapoints within the hyperrectangle best correspond to the specified subset. In essence, this allows the conversion of clustering algorithms' outputs to gating strategies outputs. For more details see Etienne Becht, Yannick Simoni, Elaine Coustan-Smith, Maximilien Evrard, Yang Cheng, Lai Guan Ng, Dario Campana and Evan Newell (2018) <doi:10.1101/278796>.
stats, grDevices, utils, graphics, lattice