Suggests: BGLR, float, knitr, rmarkdown, ggplot2, parallel, reshape,
Packaged: 2021-05-13 18:38:14 UTC; epidemiology

Suggests: BGLR, float, knitr, rmarkdown, ggplot2, parallel, reshape2,
Packaged: 2021-09-30 17:01:59 UTC; marcolopez

Suggests: BGLR, Matrix, float, knitr, rmarkdown, ggplot2, parallel,

Title: Space Filling Based Tools for Data Mining
Author: Mohamed Laib and Mikhail Kanevski
Description: Contains space filling based tools for
machine learning and data mining. Some functions offer
several computational techniques and deal with the out of
memory for large big data by using the ff package.
Imports: wordspace, doParallel, ff, parallel, stats
Note: The GPU computing version can be found soon, on following url

Title: Simplicial Generalized Beta Regression
Description: Main properties and regression procedures using a generalization of the Dirichlet distribution called Simplicial Generalized Beta distribution. It is a new distribution on the simplex (i.e. on the space of compositions or positive vectors with sum of components equal to 1). The Dirichlet distribution can be constructed from a random vector of independent Gamma variables divided by their sum. The SGB follows the same construction with generalized Gamma instead of Gamma variables. The Dirichlet exponents are supplemented by an overall shape parameter and a vector of scales. The scale vector is itself a composition and can be modeled with auxiliary variables through a log-ratio transformation. Graf, M. (2017, ISBN: 978-84-947240-0-8). See also the vignette enclosed in the package.

Title: Spatial Graph based Clustering Summaries for spatial point patterns
Description: Graph based clustering summaries for spatial point patterns. Includes 3 functions: Connectivity function,
Cumulative connectivity function and clustering function. All three are introduced in my Article 1.
Packaged: Thu Mar  5 15:07:09 2009; tarajala

Title: Spatial Graph based Clustering Summaries for spatial point
Description: Graph based clustering summaries for spatial point
patterns. Includes 4 functions: Connectivity function,
Cumulative connectivity function and clustering function, plus