Package index • srm

Model Fitting

Fit Social Relations Models to network data

srm(): Fit a Social Relations Model to network data
srm_effects(): Calculate SRM actor, partner, or unique effects
srm_stats(): Calculate SRM summary statistics

S3 Methods

Standard R methods for srm objects

print(<srm>): Print an srm object
summary(<srm>): Summarize an srm object
print(<summary.srm>): Print a summary.srm object
plot(<srm>): Plot an srm object

Inference

Permutation-based significance testing

permute_srm(): Permutation test for SRM variance components
print(<srm_permtest>): Print a permutation test result
plot(<srm_permtest>): Plot permutation test null distributions

Longitudinal Analysis

Track effects over time

srm_trends(): Track SRM effects over time
srm_trend_plot(): Plot SRM effects over time
srm_stability(): Compute stability of effects across time

Visualization

Additional plotting functions

srm_plot(): Create plots for SRM actor, dyadic, partner effects

Simulation

Generate synthetic network data

sim_srm(): Simulate network data from a Social Relations Model

Datasets

Example datasets

atop_EA: East Asian consultation agreements from ATOP
classroom: Simulated classroom friendship ratings
small_council: Simulated Small Council pursuit data (bipartite)
trade_net: Simulated trade network (longitudinal)