rnorbn: creates a pseudo-random normal bn object from a given bn

In rebastaba: Handling Bayesian networks

Description

(bn) From a gn object adds on all nodes normal probability distributions. The parameters for these are pseudo-randomly choosen according to arguments creg and erre.
Using this function with the same set.seed starting point (and the same request) must produce identical bn.
The gn can be any graph (without cycle) for instance designed by hand or resulting from rgn.

Usage

rnorbn(gn, description=new("des", name=gn@description@name), creg=c(0, 5),
	  erre=c(0, 1), ndec=1)

Arguments

gn	The starting gn object.
description	The description for the created object (des object). It can be a simple name.
creg	The mu and sigma parameters to draw the coefficient of regression (associated to the mean and the possible parents) with rnorm.
erre	The two limits to draw the standard deviation of the error with runif.
ndec	rounding argument for the parameter values.

Details

Have a look to the code, not too difficult to follow. ??? Add some details with explained examples

Value

a bn object comprising only normal variables

Examples

 rebastaba3k("RESET"); # (only for R checking)
 print(rnorbn(g4n.gn7));

rebastaba documentation built on May 2, 2019, 5:24 p.m.