árvoRe
árvore title
Language
Versão em Português brasileiro English version

    

The ArvoRe package is a Cost-effectiveness Analysis (CEA) implementation for R oriented to compute problems that involve simple decision tree models and Markov models. It offer a graphic user interface (GUI) developed in Tcl/Tk. This graphical interface simplifies the decision tree creation task and its manipulation, such as, nodes addition, probability values definition, node kind configuration, etc.

Graphics, tables and important summary statistics for the ACE are available trough of windows, the which ones concentrate them in an unique location. All graphics and decision tree can be exported to image files using PNG, JPG and BMP format. Some tables with summary statistics of an CEA problem in this package can be exported for files in the format CSV (comma separated values) or TXT (text plain). Other important ArvoRe implementation is the CEA problems solution that involve Markov chains. These problems are solved by means of first order Monte Carlo simulation. A model created to a Cost-effectiveness problem in the ArvoRe can be saved in a file with extension ARV. The main user preferences settings - as kind of tree to be exhibited, definitions that should be also exhibited are conserved in this extension file ARV.

REQUIREMENTS

To run ArvoRe is necessary R version 2.6.2 or superior version.

ArvoRe requires R version 2.6.2 or newer and some packages: abind, grid, gplots tcltk and tcltk2. This packages must be installed in your system. These packages can be downloaded from Comprehensive R Archive Network, CRAN http://www.R-project.org


DEVELOPMENT

ArvoRe package is developed through a SVN's System in R-Forge. Anybody can contribute with improvement and/or development of code. Visit ArvoRe project page.

A more recent and unstable copy of this package can be directly installed in the R using the command

install.packages("arvore",repos="http://R-Forge.R-project.org")

Development versions, the "latest snapshot", can be acquired below.

scm-latest.tar.gz


REFERENCE / HELP

DOWNLOAD

Binary (Windows)

Source code


CONTACT

Isaías Prestes, Suzi Camey

Departamento de Estatística

Universidade Federal do Rio Grande do Sul

Rio Grande do Sul, Porto Alegre

Brasil Av. Bento Gonçalves, 9500

E-mail: isaias.prestes@gmail.com, camey@ufrgs.br


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September 28, 2010 10:07:01 AM