Package index
-
prepare_dyad_data() - Prepare dyadic data for multilevel models
-
compare_nested_models() - Compare nested glmmTMB models fitted to equivalent data
-
recover_exchangeable_covariance() - Recover member-level residual covariance from exchangeable random-effect blocks
Predictive diagnostics
Experimental descriptive checks of response distributions and partner dependence.
-
simulate_dyad_responses()experimental - Simulate response datasets for predictive checks
-
check_partner_dependence()experimental - Check whether a fitted model reproduces partner dependence
-
check_dyad_residuals()experimental - Check residual distributions and patterns
-
check_dyad_outcomes()experimental - Check outcome distributions against model simulations
-
dyads_cross - Example Gaussian cross-sectional dyadic data
-
dyads_ild - Example Gaussian intensive longitudinal dyadic data
-
dyads_nbinom_cross - Example negative-binomial cross-sectional dyadic data
-
dyads_nbinom_ild - Example negative-binomial intensive longitudinal dyadic data