Network Scale-Up Models for Aggregated Relational Data

---

Documentation for package ‘networkscaleup’ version 0.2-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

networkscaleup-package	The 'networkscaleup' package.
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 This function fits the ARD using either the uncorrelated or correlated model in Laga et al. (2021) in Stan. The population size estimates and degrees are scaled using a post-hoc procedure.
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 degrees and population sizes using the plug-in MLE and MLE estimator.
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