Binary Classification Using Extensions of Discriminant Analysis
c(
person("Alexander F.", "Lapanowski", email = "aflapan@gmail.com", role = c("aut", "cre")),
person("Irina", "Gaynanova", email = "irinag@stat.tamu.edu", role = "aut"))
Implements methods for sample size
reduction within Linear and Quadratic Discriminant Analysis in Lapanowski and Gaynanova (2020) <arXiv:2005.03858>.
Also includes methods for non-linear discriminant analysis with simultaneous sparse feature selection in Lapanowski and Gaynanova (2019) PMLR 89:1704-1713.
Rcpp (>= 1.0.1), Matrix, stats, fields, MASS, datasets,
mvtnorm, expm, DAAG
Alexander F. Lapanowski [aut, cre],
Irina Gaynanova [aut]

This package enhances the igraph-package by providing
additional methods for the analysis of bipartite graphs and
their monopartite projections.

Basic image operations and image processing
This package includes arithmetic, logic, look up table and geometric operations. Some image processing functions, for edge detection (several algorithms including roberts, sobel, kirsch, marr-hildreth, canny) and operations by convolution masks (with predefined as well as user defined masks) are provided. Supported file formats are jpeg and tiff (it requires libtiff and libjpeg libraries installed).

This package includes several methods for image processing
and analysis. It provides geometric, arithmetic, logic,
morphologic (supported on one channel images only), look-up
tables, edge detection (including Roberts, Sobel, Kirsch,
Marr-Hildreth and Canny, among others) and convolution masks
operations (predefined commons masks already defined and user
defined applications). Isodata and k-means classification
methods are also provided (standard, kd-tree and brute force
methods implemented). Fast Fourier Transform methods and
filters also available if fftw3 installed. Supports jpeg and
tiff images so far (more image support in future versions).
libtiff and libjpeg libraries installed required.
Orphaned on 2013-03-29 at the request of the
maintainer.