tbergm-class function

An S4 class to represent a fitted TERGM using Bayesian estimation

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

## 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.
  

See Also

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

Author(s)

Philip Leifeld