abn (version 0.83)

ex2.dag.data: Synthetic validation data set for use with abn library examples

Description

10000 observations simulated from a DAG with 18 variables three sets each from Poisson, Bernoulli and Gaussian distributions.

Usage

ex2.dag.data

Examples

## the true underlying stochastic model has DAG - this data is a single realisation.
ex2.true.dag<-matrix(data=c(
   0,1,0,1,0,0,1,0,1,1,1,0,1,0,0,0,0,0, 
   0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,
   0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,
   0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,1,0,0,1,1,0,1,1,0,1,0,0,0,0,0,0,0,
   0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,
   0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,1,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,
   0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,
   0,1,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,
   0,0,0,1,1,0,1,0,1,0,1,0,0,0,0,0,0,0,
   0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,
   0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
   0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0
   ), ncol=18,byrow=TRUE);

colnames(ex2.true.dag)<-rownames(ex2.true.dag)<-c("b1","g1","p1","b2","g2","p2","b3","g3",
"p3","b4","g4","p4","b5","g5","p5","b6","g6","p6");