package-parental: The parental package.

In rjbgoudie/parental: Light-weight graph package

Description

The package parental provides lightweight tools for creating, modifying network/graph objects. The emphasis is on representing Bayesian Networks, so the focus is on Directed Acyclic Graphs.

See Also

Constructors for objects: parental, bn, bvsresponse, bvs. Particular graphs: complete, empty. Plotting: grplot. Properties: nNodes, nEdges, indegrees, checkAcyclic, topologicallyOrder, routes. Collections of objects: parental.list, bn.list Conversion to/from other graph objects: as.parental, as.bn. Routes matrices: routes, routesAddEdge, routesRemoveEdge Random Bayesian network: sampleBN Draw data from a Bayesian network: simulate.bn

Examples

# A `bn` object is created by specifying the parents of each node.
x <- bn(c(2), c(), c(1, 2))
grplot(x)

# A `bn` object can be converted to an adjacency matrix
adj <- matrix(c(0, 0, 1, 1, 0, 0, 0, 0, 0), 3, 3)
x <- as.bn(adj)
grplot(x)

# A `bn` object can be converted to an adjacency matrix
x <- bn(c(2), c(), c(1, 2))
as.adjacency(x)

# Properties of a `bn`
x <- bn(c(2), c(), c(1, 2))
nNodes(x)
nEdges(x)
indegrees(x)
checkAcyclic(x)
topologicallyOrder(x)

# Manipulating `bn` objects
x <- bn(c(2), c(), c(1, 2))

# Fast, but less intuitive manipulation of `bn` objects
x <- bn(c(2), c(), c(1, 2))
x[[1]] <- c()
x
x[[2]] <- 1
x

# Sample a BN
sampleBN(10)
sampleBN(10, maxNumberParents = 2)

# An empty graph
empty(10, "bn")

# Enumerate all the Bayesian Networks
enumerateBNSpace(3)

# Tools for handling "routes matrices"
x <- bn(c(2), c(), c(1, 2))
routes(x)

# Simulate from a `bn`
cpt <- list(
as.table(array(c(0.7, 0.3), 2)),
as.table(array(c(0.5, 0.5, 0.2, 0.8), c(2, 2)))
)
net <- bn(c(), 1)
sim <- simulate(object = net, nsim = 1000, ptables = cpt)

rjbgoudie/parental documentation built on May 27, 2019, 9:11 a.m.