gRain (version 1.4.1)

components_gather: Compile conditional probability tables / cliques potentials.

Description

Compile conditional probability tables / cliques potentials as a preprocessing step for creating a graphical independence network

Usage

compile_cpt(x, ..., forceCheck = TRUE)
compile_pot(x, ..., forceCheck = TRUE)
compileCPT(x, ..., forceCheck = TRUE)
compilePOT(x, ..., forceCheck = TRUE)
parse_cpt(xi)

Value

A list with a class attribute.

Arguments

x

To compileCPT x is a list of conditional probability tables; to compilePOT, x is a list of clique potentials.

...

Additional arguments; currently not used.

forceCheck

Controls if consistency checks of the probability tables should be made.

xi

cpt in some representation

Author

Søren Højsgaard,

Details

* `compileCPT` is relevant for turning a collection of
cptable's into an object from which a network can be built. For
example, when specification of a cpt is made with cptable then
the levels of the node is given but not the levels of the
parents. `compileCPT` checks that the levels of variables in
the cpt's are consistent and also that the specifications
define a dag.
* `compilePOT` is not of direct relevance for the
user for the moment. However, the elements of the input should
be arrays which define a chordal undirected graph and the
arrays should, if multiplied, form a valid probability density.

References

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

See Also

extract_cpt, extract_pot, extract_marg

Examples

data(chest_cpt)
x <- compile_cpt(chest_cpt)
class(x)
grain(x)