Print method for AME model objects

Displays a formatted summary of a fitted AME (Additive and Multiplicative Effects) model. This method provides a concise overview of model structure, parameter estimates, and goodness-of-fit statistics without generating new data.

Usage

# S3 method for class 'ame'
print(x, ...)

Arguments

x

an object of class "ame" from fitting an AME model

...

additional arguments (not currently used)

Value

Invisibly returns the input object (for method chaining)

Details

The print method displays:

• Model type (unipartite/bipartite, symmetric/asymmetric)

• Network dimensions and observation count

• Family and link function used

• Number of MCMC iterations

• Parameter counts for regression coefficients and latent factors

• Basic convergence diagnostics if available

Unlike simulate, this method only formats existing results for display and does not perform any new computations or data generation.

See also

summary.ame for detailed summaries, simulate.ame for generating new networks, predict.ame for predictions

Author

Cassy Dorff, Shahryar Minhas, Tosin Salau

Examples

# \donttest{
# Fit model
data(YX_nrm)
fit <- ame(YX_nrm$Y, Xdyad = YX_nrm$X, R = 2,
           nscan = 100, burn = 10, odens = 1, verbose = FALSE)

# Display summary
print(fit)
#> 
#> Additive and Multiplicative Effects (AME) Model
#> ================================================
#> 
#> Network dimensions:  100 x 100 
#> Stored posterior samples:  100 
#> Family:  normal 
#> Mode:  unipartite 
#> Symmetric:  FALSE 
#> 
#> Number of parameters:
#>   Regression coefficients:  8 
#>   Row/sender effects: enabled
#>   Column/receiver effects: enabled
#>   Dyadic correlation: enabled
#>   Multiplicative effects dimension:  2 
#> 
#> Use summary(object) for detailed results
# }