Man pages for networkscaleup
Network Scale-Up Models for Aggregated Relational Data
| construct_pearson | Compute Pearson Residuals for ARD matrix and fitted model |
| construct_rqr | Compute Randomized Quantile Residuals for ARD Models |
| correlatedStan | Fit ARD using the uncorrelated or correlated model in Stan... |
| cov_plots | Covariance plots |
| dispersion_metric | Dispersion Metric for Fitted ARD Model |
| example_data | Simulated ARD data set with z and x. |
| fit_mle | Fit basic Poisson and Negative Binomial models using glmmTMB |
| get_surrogate | Compute Surrogate Residuals for ARD Models |
| hang_rootogram_ard | Hanging Rootogram for Fitted ARD Model |
| killworth | Fit Killworth models to ARD. This function estimates the... |
| log_mix_uniform | log computed uniform quantile |
| make_ard | Generate simulated ARD |
| make_ard_tidy | Construct tibble from ARD matrix |
| networkscaleup | The 'networkscaleup' package. |
| overdispersed | Fit Overdispersed model to ARD (Gibbs-Metropolis) |
| overdispersedStan | Fit ARD using the Overdispersed model in Stan |
| plot_fitted | Plot residuals against fitted values |
| residual_correlation | Construction Residual (row/column) correlation matrix |
| residual_heatmap | Construct heatmap of residuals |
| rqr_nbinom_logs | compute numerically stable negative binomial rqr |
| rqr_pois_logs | compute numerically stable Poisson rqr |
| scaling | Scale raw log degree and log prevalence estimates |
| tw_group_corr_test | Tracy-Widom test for residual group correlation |
