Assign, extract or compute various quantities of interest from an object of
class bn.fit
, bn.fit.dnode
, bn.fit.gnode
,
bn.fit.cgnode
or bn.fit.onode
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43  ## methods available for "bn.fit"
## S3 method for class 'bn.fit'
fitted(object, ...)
## S3 method for class 'bn.fit'
coef(object, ...)
## S3 method for class 'bn.fit'
residuals(object, ...)
## S3 method for class 'bn.fit'
sigma(object, ...)
## S3 method for class 'bn.fit'
logLik(object, data, nodes, by.sample = FALSE, ...)
## S3 method for class 'bn.fit'
AIC(object, data, ..., k = 1)
## S3 method for class 'bn.fit'
BIC(object, data, ...)
## methods available for "bn.fit.dnode"
## S3 method for class 'bn.fit.dnode'
coef(object, ...)
## methods available for "bn.fit.onode"
## S3 method for class 'bn.fit.onode'
coef(object, ...)
## methods available for "bn.fit.gnode"
## S3 method for class 'bn.fit.gnode'
fitted(object, ...)
## S3 method for class 'bn.fit.gnode'
coef(object, ...)
## S3 method for class 'bn.fit.gnode'
residuals(object, ...)
## S3 method for class 'bn.fit.gnode'
sigma(object, ...)
## methods available for "bn.fit.cgnode"
## S3 method for class 'bn.fit.cgnode'
fitted(object, ...)
## S3 method for class 'bn.fit.cgnode'
coef(object, ...)
## S3 method for class 'bn.fit.cgnode'
residuals(object, ...)
## S3 method for class 'bn.fit.cgnode'
sigma(object, ...)

object 
an object of class 
nodes 
a vector of character strings, the label of a nodes whose loglikelihood components are to be computed. 
data 
a data frame containing the variables in the model. 
... 
additional arguments, currently ignored. 
k 
a numeric value, the penalty coefficient to be used; the default

by.sample 
a boolean value. If 
coef
(and its alias coefficients
) extracts model coefficients
(which are conditional probabilities for discrete nodes and linear regression
coefficients for Gaussian and conditional Gaussian nodes).
residuals
(and its alias resid
) extracts model residuals and
fitted
(and its alias fitted.values
) extracts fitted values
from Gaussian and conditional Gaussian nodes. If the bn.fit
object
does not include the residuals or the fitted values for the node of interest
both functions return NULL
.
sigma
extracts the standard deviations of the residuals from Gaussian
and conditional Gaussian networks and nodes.
logLik
returns the loglikelihood for the observations in data
.
logLik
returns a numeric vector or a single numeric value, depending
on the value of by.sample
. AIC
and BIC
always return a
single numeric value.
All the other functions return a list with an element for each node in the
network (if object
has class bn.fit
) or a numeric vector or
matrix (if object
has class bn.fit.dnode
, bn.fit.gnode
,
bn.fit.cgnode
or bn.fit.onode
).
Marco Scutari
1 2 3 4 5 6 7 8 9 10 11  data(gaussian.test)
res = hc(gaussian.test)
fitted = bn.fit(res, gaussian.test)
coefficients(fitted)
coefficients(fitted$C)
str(residuals(fitted))
data(learning.test)
res2 = hc(learning.test)
fitted2 = bn.fit(res2, learning.test)
coefficients(fitted2$E)

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