Provides a comprehensive summary of a fitted AME (Additive and Multiplicative Effects) model, including parameter estimates, standard errors, confidence intervals, and model diagnostics.
Usage
# S3 method for class 'ame'
summary(object, ...)Value
A list of class "summary.ame" containing:
- call
The original function call
- beta
Matrix of regression coefficient estimates and statistics
- variance
Matrix of variance component estimates
Details
The summary includes:
- Regression coefficients
Point estimates, standard errors, z-values, p-values, and 95% confidence intervals for dyadic, sender, and receiver covariates
- Variance components
Estimates and standard errors for:
- va
Variance of additive sender/row effects (asymmetric networks)
- cab
Covariance between sender and receiver effects
- vb
Variance of additive receiver/column effects (asymmetric networks)
- rho
Dyadic correlation (reciprocity in directed networks)
- ve
Residual variance
For symmetric networks, only va and ve are estimated.