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Número total de librerías: 5

1) alphahull

Generalization of the convex hull of a sample of points in the plane. This package computes the alpha-shape and alpha-convex hull of a given sample of points in the plane. The concepts of alpha-shape and alpha-convex hull generalize the definition of the convex hull of a finite set of points. The programming is based on the duality between the Voronoi diagram and Delaunay triangulation. The package also includes a function that returns the Delaunay mesh of a given sample of points and its dual Voronoi diagram in one single object.

Package source: alphahull_0.2-1.tar.gz
MacOS X binary: alphahull_0.2-1.tgz
Windows binary: alphahull_0.2-1.zip
Reference manual: alphahull.pdf
Vignettes: Generalizing the Convex Hull of a Sample: The R Package alphahull

2) alphashape3d

Implementation of the 3D alpha-shape for the reconstruction of 3D sets from a point cloud The package alphashape3d presents the implementation in R of the alpha-shape of a finite set of points in the three-dimensional space. This geometric structure generalizes the convex hull and allows to recover the shape of non-convex and even non-connected sets in 3D, given a random sample of points taken into it. Besides the computation of the alpha-shape, the package alphashape3d provides users with functions to compute the volume of the alpha-shape, identify the connected components and facilitate the three-dimensional graphical visualization of the estimated set.

Package source: alphashape3d_0.2.tar.gz
MacOS X binary: alphashape3d_0.2.tgz
Windows binary: alphashape3d_0.2.zip
Reference manual: alphashape3d.pdf

3) fda.usc

Functional Data Analysis and Utilities for Statistical Computing (fda.usc).
The new R package fda.usc includes methods for:


1. Functional Data Representation
2. Exploratory Functional Data Analysis
3. Functional Outlier Detection
4. Functional Regression with Scalar Response
5. Functional Supervised and Non-Supervised Classification
6. Functional ANOVA

The purpose of this package is to integrate own developments in Functional Data Analysis with those from other authors:  fda package and/or group STAPH
The package fda.usc is avalaible through CRAN and further documentation are available:

Package source: fda.usc_1.0.5.tar.gz
Windows binary: fda.usc_1.0.5.zip
Example R scripts: script.zip
Reference manual: fda.usc.pdf
News/ChangeLog: NEWS

4) DTDA: Doubly truncated data analysis

This package implements different algorithms for analyzing randomly truncated data, one-sided and two-sided (i.e. doubly) truncated data. Two real data sets are included. It incorporates the iterative methods introduced by Efron and Petrosian (1999) and Shen (2008). Estimation of the lifetime distribution function and truncation times distributions is possible, together with the corresponding pointwise confidence limits based on bootstrap methods. Plots of cumulative distributions and survival functions are provided. Two real data sets are included: right-truncated AIDS data and doubly truncated data on quasar luminosities.
Package source: DTDA_2.1-1.tar.gz
MacOS X binary: DTDA_2.1-1.tgz
Windows binary: DTDA_2.1-1.zip
Reference manual: DTDA.pdf

5) Funciones para datos circulares

Este paquete implementa el estimador tipo núcleo de la densidad con datos circulares propuesto por Hall, Watson y Cabrera (1987). Para seleccionar el parámetro de suavizado de dicho estimador se han programado tres selectores:
a) la regla del pulgar desarrollada por Taylor (2008),
b) la regla de validación cruzada por máxima verosimilitud (Hall, Watson y Cabrera, 1987) y
c) la regla plug-in propuesta por Oliveira, Crujeiras y Rodríguez-Casal (2012).
Funciones: Datos Circulares
 
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