Refernce paper

[zgong001]

1. Firstly, you need install R and RStudio. (If you already have it, you could ignore this step.)

2. Install package "BiDAG": execute " install.packages("BiDAG") " in the Console of your R or Rstudio.

In the process of installation of "BiDAG", you may find you missed some package and you need install these dependent packages for ubuntu and R.

To install ubuntu dependent package: such as libcurl4-openssl-dev, libgmp3-dev, libv8-3.14-dev, and so on, you need execute the following in the terminal:

apt-get update (This is to get the updated version of the packages.)

sudo apt-get install XXXX. (XXXX means the dependent package)

To install R dependent package, execute the following in R:

source("https://bioconductor.org/biocLite.R")

biocLite("XXXX") (XXXX means the dependent package)

3. Use package "BiDAG": library(BiDAG)

[cwyoo]

Please see

Board index ‹ Theory & Concepts ‹ Causality ‹ R package for Bayesian Inference for DAG (BiDAG) at http://smlg.fiu.edu/phpbb/viewtopic.php?f=82&t=167#p1239