fit.bnet: Fit a bnet object

In gherardovarando/Rbnet: Define and Manage Bayesian Networks

Description

Fit a bnet object

Usage

fit.bnet(object, data, nodes = NULL, Mins = NULL, Maxs = NULL, ...)

Arguments

object	a bnet obejct
data	data.frame with names that include the variables of object
...	additional parameters to be passed to the bmop fitting functions
search	logical, use penalized loglik search or not

Value

a bnet object with fitted densities and conditional densities

Examples

## Not run: require(bnlearn)
data(gaussian.test)
bn<-hc(gaussian.test,maxp=2)
plot(bn)
bnet<-as.bnet(bn)
plot(bnet)
is.fitted.bnet(bnet)
bnet<-fit.bnet(bnet,gaussian.test[1:100,]) # just 100 observation
 are used to make computation lighter
is.fitted.bnet(bnet)
plot(bnet$variables$A$prob)
plot(bnet$variables$B$prob)
## End(Not run)
X<-rnorm(100)
Y<-rnorm(100)
U<-rnorm(100,mean=X+Y)
V<-rnorm(100,mean=X)
Z<-rnorm(100,mean=U)
data<-data.frame(X,Y,U,V,Z)
mat<-matrix(nrow=5, c(0,0,1,1,0,
                     0,0,1,0,0,
                     0,0,0,0,1,
                     0,0,0,0,0))
bnet<-new_bnet(names(data),mat)
bnet<-fit.bnet(bnet,data)

gherardovarando/Rbnet documentation built on May 17, 2019, 4:18 a.m.