Provides a comprehensive summary of a fitted LAME (Longitudinal Additive and Multiplicative Effects) model, including parameter estimates, standard errors, confidence intervals, and model diagnostics.
Usage
# S3 method for class 'lame'
summary(object, ...)Value
A list of class "summary.lame" containing:
- call
The original function call
- beta
Matrix of regression coefficient estimates and statistics
- variance
Matrix of variance component estimates
- n.periods
Number of time periods in the longitudinal data
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
- cab
Covariance between sender and receiver effects
- vb
Variance of additive receiver/column effects
- rho
Dyadic correlation (reciprocity)
- ve
Residual variance