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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.
REFERENCE / HELP
Briggs AH, Willan AR (2006). Statistical Analysis of Cost-effectiveness Data. John Wiley & Sons, Chichester, West Sussex.
Dalgaard P (2001). \A Primer on the R-Tcl/Tk Package." R News, 1(3), 27{31.
Dalgaard P (2002). \Changes to the R-Tcl/Tk Package." R News, 2(3), 25{71.
R Development Core Team (2008). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URLhttp://www.R-project.org.
DOWNLOAD
Binary (Windows)
Source code
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
