Package index • multiGGM

All functions

calc_mrf_logC(): Log normalizing constant for the MRF prior (per edge)
calc_mrf_logC_cpp(): Compute log normalizing constant for the edge-sharing MRF prior
coef(<multiggm_fit>): Extract posterior mean precision matrices
coef(<multiggm_platform_fit>): Extract posterior mean precision matrices from a multi-platform fit
confusion_at_threshold(): Confusion metrics at a PIP threshold
diff_prob_pcor(): Posterior probability of differential partial correlation (K=2)
edge_counts(): Per-iteration edge counts for convergence checking
fitted(<multiggm_fit>): Extract posterior mean partial correlation matrices
fitted(<multiggm_platform_fit>): Extract posterior mean partial correlation matrices from a multi-platform fit
fix_matrix(): Rescale a symmetric matrix toward positive definiteness
multiggm_mcmc(): Fit multiple Gaussian graphical models via MCMC
pip_diff_edge(): Posterior probability of differential edge inclusion (K=2)
pip_edges(): Posterior inclusion probabilities (PIP) per group
plot(<multiggm_fit>): Plot method for multiggm_fit objects
plot_network(): Network plot of an adjacency matrix
plot_pip_heatmap(): Heatmap of posterior inclusion probabilities
plot_recovery(): Compare estimated graph to ground truth
plot_roc(): Plot ROC curve
plot_trace(): Trace plots for MCMC diagnostics
posterior_ci(): Posterior credible intervals for partial correlations
posterior_pcor(): Compute posterior partial correlations from a multiggm_fit object
posterior_precision(): Extract posterior summary of precision matrices
precision_to_pcor(): Convert precision matrix to partial correlation matrix
print(<multiggm_fit>): Print a multiggm_fit object
print(<multiggm_fit_list>): Print a multiggm_fit_list object
print(<multiggm_platform_fit>): Print a multiggm_platform_fit object
roc_auc(): ROC curve and AUC from continuous scores
simulate_multiggm(): Simulate data from multiple Gaussian graphical models
simulate_multiggm_platform(): Simulate multi-platform data from multiple Gaussian graphical models
summary(<multiggm_fit>): Summarize a multiggm_fit object
summary(<multiggm_platform_fit>): Summarize a multiggm_platform_fit object