Summarizes a fitted AME (Additive and Multiplicative Effects) model, including parameter estimates, standard errors, credible 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
Posterior means, posterior standard deviations, z-values, approximate p-values, and 95% credible intervals for dyadic, sender, and receiver covariates. Note: the z-values are computed as posterior mean / posterior SD, and the p-values are derived from a normal approximation. These are convenient screening statistics but are not formal frequentist test statistics. For rigorous inference, use the credible intervals or examine the full posterior via the BETA matrix directly.
- 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.