cpt-update: Update components of Bayesian network

In DataSciBurgoon/gRain: Graphical Independence Networks

Description

Update components of Bayesian network.

Usage

setCPT(object, value)

## S3 method for class 'cpt_grain'
setCPT(object, value)

Arguments

object	A grain object.
value	A named list, see examples below.

Author(s)

Søren Højsgaard, [e-mail]

References

Søren Højsgaard (2012). Graphical Independence Networks with the gRain Package for R. Journal of Statistical Software, 46(10), 1-26. http://www.jstatsoft.org/v46/i10/.

See Also

grain, propagate, triangulate, rip, junctionTree

Examples

## See the wet grass example at
## https://en.wikipedia.org/wiki/Bayesian_network

yn <- c("yes", "no")
p.R <- cptable(~R, values=c(.2, .8), levels=yn)
p.S_R <- cptable(~S:R, values=c(.01, .99, .4, .6), levels=yn)
p.G_SR <- cptable(~G:S:R, values=c(.99, .01, .8, .2, .9, .1, 0, 1), levels=yn)

x <- compileCPT(p.R, p.S_R, p.G_SR)
x
wet.bn <- grain(x)

getgrain(wet.bn, "cpt")
getgrain(wet.bn, "cpt")$R
getgrain(wet.bn, "cpt")$S

# Now update some cpt's
wet.bn2 <- setCPT(wet.bn, list(R=c(.3, .7), S=c(.1, .9, .7, .3)))

getgrain(wet.bn2, "cpt")$R
getgrain(wet.bn2, "cpt")$S

DataSciBurgoon/gRain documentation built on March 25, 2020, 12:02 a.m.