Index | Topics |
single-node local discovery {bnlearn} | R Documentation |
Discover the structure around a single node
Description
Learn the Markov blanket or the neighbourhood centered on a node.
Usage
learn.mb(x, node, method, whitelist = NULL, blacklist = NULL, start = NULL,
test = NULL, alpha = 0.05, ..., max.sx = NULL, debug = FALSE)
learn.nbr(x, node, method, whitelist = NULL, blacklist = NULL,
test = NULL, alpha = 0.05, ..., max.sx = NULL, debug = FALSE)
Arguments
x |
a data frame containing the variables in the model. |
node |
a character string, the label of the node whose local structure is being learned. |
method |
a character string, the label of a structure learning algorithm. Possible choices are listed in structure learning. |
whitelist |
a vector of character strings, the labels of the whitelisted nodes. |
blacklist |
a vector of character strings, the labels of the blacklisted nodes. |
start |
a vector of character strings, the labels of the nodes to be included in the Markov blanket before
the learning process (in |
test |
a character string, the label of the conditional independence test to be used in the algorithm. If
none is specified, the default test statistic is the mutual information for categorical
variables, the Jonckheere-Terpstra test for ordered factors and the linear correlation for
continuous variables. See |
alpha |
a numeric value, the target nominal type I error rate. |
... |
optional arguments to be passed to the test specified by |
max.sx |
a positive integer, the maximum allowed size of the conditioning sets used in conditional independence tests. The default is that there is no limit on size. |
debug |
a boolean value. If |
Value
A vector of character strings, the labels of the nodes in the Markov blanket (for
learn.mb()
) or in the neighbourhood (for learn.nbr()
).
Note
All algorithms used by learn.mb()
and learn.nbr()
accept incomplete data,
which they handle by computing individual conditional independence tests on locally complete
observations.
Author(s)
Marco Scutari
See Also
Examples
learn.mb(learning.test, node = "D", method = "iamb")
learn.mb(learning.test, node = "D", method = "iamb", blacklist = c("A", "F"))
learn.nbr(gaussian.test, node = "F", method = "si.hiton.pc", whitelist = "D")
Index | Topics |