árvoRe
árvore title
Language
Versão em Português brasileiroEnglish 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 required R version 2.15.2 or superior.

ArvoRe requires R version 2.15.2 or newer and some packages: abind, gplots, gdata, stringr, tcltk, tcltk2 and triangle. This packages must be installed in your system. These packages can be downloaded from Comprehensive R Archive Network, CRAN http://www.R-project.org 


RUNNING ARVORE

Some arvoRe functions are not standarized, and return some errors during 'RCMD build' command, to build a regular package. However, you can run arvoRe in your system folowing some steps (windows plataform):

  1. Install R version 2.15.2, or superior. Direct link http://cran.r-project.org/bin/windows/base/ ;

  2. Download arvoRe binary zip below;

  3. Unzip arvoRe_0.1.XX.zip in "C:\Program Files\R\R-2.15.2\library folder using WinZip (or similar software, Winrar for instance);

  4. Run this script on R-GUI command prompt:

# -----8<-----

diretorio <- "C:/Program Files/R/R-2.15.2/library/arvoRe/R"
setwd("C:/Program Files/R/R-2.15.2/library/arvoRe/R")
listafiles <- list.files(diretorio, pattern = ".R")

for (i in listafiles) {
    print( paste("Processando ",i, sep="") )
    source(i)
}
rm(diretorio)
rm(listafiles)

# Executa o arvoRe
arvore()

# -----8<-----

REMARKS :

        arvoRe package try automaticaly install all dependences. However, some packages, like gdata, some times, show error in instalation proccess when using R version 2.15.2. If you receive an error message, delete the "gdata" folder in R library folder (C:\Program Files\R\R-2.15.2\library). Then try to run arvoRe again.

# -----8<-----
arvore()
# -----8<-----

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

You can read the paper "Implementação de uma interface gráfica para Análise de Custo Efetividade no R" to solve instalation problems and know more about Cost-Effectiveness Analysis.

DOWNLOAD

Binary (Windows)

Source code


EXAMPLE

To illustrate the arvoRe package, is used an example from the book "Essentials of Pharmacoeconomics" Karen Rascati. The  simulation include a second order Markov model. The example was modified to perform a stochastic evaluation. This model try to  assess the cost-effectiveness of double antiretroviral therapy (DAT) versus triple antiretroviral therapy (TAT) for HIV.



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@mat.ufrgs.br


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July 18, 2013 06:46:30 PM