createMtergm: Constructor for mtergm objects

In btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Constructor for mtergm objects

Description

Constructor for mtergm objects.

Usage

createMtergm(
  coef,
  se,
  pval,
  nobs,
  time.steps,
  formula,
  formula2,
  auto.adjust,
  offset,
  directed,
  bipartite,
  estimate,
  loglik,
  aic,
  bic,
  ergm,
  nvertices,
  data
)

Arguments

coef	Object of class "numeric". The coefficients.
se	Standard errors.
pval	The p-values.
nobs	Object of class "numeric". Number of observations.
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: either MCMC MLE or MPLE.
loglik	Log likelihood of the MLE.
aic	Akaike's Information Criterion.
bic	Bayesian Information Criterion.
ergm	The original ergm object as estimated by the ergm function in the ergm package.
nvertices	Number of vertices.
data	The data after processing by the tergmprepare function.

Details

Create an S4 mtergm object using this constructor function.

Author(s)

Philip Leifeld

See Also

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

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