R: An S4 class to represent a fitted TERGM using Bayesian...

tbergm-class {btergm}

R Documentation

An S4 class to represent a fitted TERGM using Bayesian estimation

Description

An S4 class to represent a fitted TERGM using Bayesian estimation.

Usage

## S4 method for signature 'tbergm'
show(object)

## S4 method for signature 'tbergm'
nobs(object)

timesteps.tbergm(object)

## S4 method for signature 'tbergm'
summary(object, ...)

Arguments

`object`	A `tbergm` object.
`...`	Further arguments for the `summary` function in the Bergm package.

Details

tbergm objects result from Bayesian estimation of a TERGM using the tbergm function. They contain the original bergm object and some additional information.

Functions

show(tbergm): Show the coefficients of a tbergm object.
nobs(tbergm): Return the number of observations saved in a tbergm object.
timesteps.tbergm(): Return the number of time steps saved in a tbergm object.
summary(tbergm): Summary of a fitted tbergm object.

Slots

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.

Author(s)

Philip Leifeld