Usage
CID (input, outcome, n.nodes, node.names, intercept = 0,components, class.outcome="ordinal", fill.in.missing.edges=missing(outcome), generate=FALSE, verbose=2, ...) CID.generate (...)
Arguments
input
A matrix object containing information about the edges in a
network. If the input is a matrix with 2 columns the input is
assumed to be a set of edges. If input is a square matrix, it is
assumed to be a sociomatrix. If no input is provided, a new network
is generated containing n.nodes.
outcome
A set of outcome values for each edge in the edgelist
given as input. If outcome is missing, the edgelist is assumed to
represent observed edges in a binary network. outcome requires no
value is a sociomatrix is provided.
n.nodes
Number of nodes in generated networks
node.names
Names labeling each node in the network.
intercept
Intercept to be used when generating new networks
components
A list of components to use when generating new
networks. Possible components include SR, SBM, MMSBM, LSM, LVM HBM
EdgeCOV, SenderCOV, ReceiverCOV, SendRecCov, IdenticalCOV
class.outcome
One of "ordinal" (default, values from 0 to
higher integers), "binary" (ordinal in 0 and 1) or "gaussian"
(unbounded continuous values). Class is auto-detected if NULL remains
in place.
fill.in.missing.edges
If TRUE, the edge list will be augmented
with zeroes for all unspecified but possible edges. By default, if an
outcome is specified, these edges will not be added.
generate
When TRUE a new network with n.nodes nodes is
generated as specified by the intercept and components passed to CID.
verbose
Level of output to be displayed while running. A value
of 0 will return little or no output. A value of 1 will only notify
of warnings of misuse. A value of 2 will report progress of MCMC
chain. A value of 3 or higher will report debugging values.
...
Arguments passed to the master class.