createTbergm: Constructor for tbergm objects

In btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Constructor for tbergm objects

Description

Constructor for tbergm objects.

Usage

createTbergm(
  time.steps,
  formula,
  formula2,
  auto.adjust,
  offset,
  directed,
  bipartite,
  estimate,
  bergm,
  nvertices,
  data
)

Arguments

time.steps	Object of class "numeric". Number of time steps.
formula	Object of class "formula". The original model formula (without indices for the time steps).
formula2	The revised formula with the object references after applying the tergmprepare function.
auto.adjust	Object of class "logical". Indicates whether automatic adjustment of dimensions was done before estimation.
offset	Object of class "logical". Indicates whether an offset matrix with structural zeros was used.
directed	Object of class "logical". Are the dependent networks directed?
bipartite	Object of class "logical". Are the dependent networks bipartite?
estimate	Estimate: "bergm" for Bayesian estimation.
bergm	The original bergm object as estimated by the bergm function in the Bergm package.
nvertices	Number of vertices.
data	The data after processing by the tergmprepare function.

Details

Create an S4 tbergm object using this constructor function.

Author(s)

Philip Leifeld

See Also

Other tergm-classes: btergm-class, createBtergm(), createMtergm(), mtergm-class, tbergm-class

btergm documentation built on May 29, 2024, 12:09 p.m.