Produces a detailed variance decomposition table and, for longitudinal models, per-period breakdowns.
Usage
# S3 method for class 'srm'
summary(object, ...)Value
An object of class summary.srm, which is a list containing:
- stats
The full stats data frame.
- variance_table
A summary table with variance, percentage, and component labels.
- n_time
Number of time points.
- bipartite
Logical; bipartite indicator.
Examples
mat = matrix(c(0, 1, 2, 2, 0, 1, 1, 2, 0), 3, 3)
rownames(mat) = colnames(mat) = c("A", "B", "C")
fit = srm(mat)
summary(fit)
#> Social Relations Model - Variance Decomposition
#> ==================================================
#>
#> Component Variance % Total
#> ------------------------------------------
#> (Not estimable -- network too small, need n >= 4)