Man pages for rnmamod
Bayesian Network Meta-Analysis with Missing Participants
| balloon_plot | Enhanced balloon plot |
| baseline_model | The baseline model for binary outcome |
| bland_altman_plot | The Bland-Altman plot |
| comp_clustering | End-user-ready results for comparison dissimilarity and... |
| data_preparation | Prepare the dataset in the proper format for R2jags |
| dendro_heatmap | Dendrogram with amalgamated heatmap (Comparisons'... |
| describe_network | A function to describe the evidence base |
| distr_characteristics | Visualising the distribution of characteristics (Comparisons'... |
| forestplot | Comparator-specific forest plot for network meta-analysis |
| forestplot_metareg | Comparator-specific forest plot for network meta-regression |
| gower_distance | Gower's dissimilarity measure (Trials' comparability for... |
| heatmap_missing_dataset | Heatmap of proportion of missing participants in the dataset |
| heatmap_missing_network | Heatmap of proportion of missing participants in the network |
| heatmap_robustness | Heatmap of robustness |
| heterogeneity_param_prior | Determine the prior distribution for the heterogeneity... |
| improved_ume | Detect the frail comparisons in multi-arm trials |
| internal_measures_plot | Internal measures for cluster validation (Comparisons'... |
| intervalplot_panel_ume | A panel of interval plots for the unrelated mean effects... |
| kld_barplot | Barplot for the Kullback-Leibler divergence measure |
| league_heatmap | League heatmap for estimation |
| league_heatmap_pred | League heatmap for prediction |
| league_table_absolute | League table for relative and absolute effects |
| league_table_absolute_user | League table for relative and absolute effects (user defined) |
| leverage_plot | Leverage plot |
| mcmc_diagnostics | Markov Chain Monte Carlo diagnostics |
| metareg_plot | End-user-ready results for network meta-regression |
| miss_characteristics | Visualising missing data in characteristics (Comparisons'... |
| missingness_param_prior | Define the mean value of the normal distribution of the... |
| netplot | Network plot |
| nma.baker2009 | Pharmacological interventions for chronic obstructive... |
| nma.bottomley2011 | Pharmacological interventions for moderately severe scalp... |
| nma.dogliotti2014 | Oral antithrombotics for stroke episode |
| nma.liu2013 | Antidepressants in Parkinson's disease |
| nma.schwingshackl2014 | Training modalities for patients with type 2 diabetes |
| nma.stowe2011 | Antiparkinsonian interventions for later Parkinson's disease |
| nodesplit_plot | End-user-ready results for the node-splitting approach |
| pma.hetrick2012 | Paroxetine versus placebo for depressive disorders |
| pma.taylor2004 | Inositol versus glucose for depressive episode |
| prepare_model | WinBUGS code for Bayesian pairwise or network meta-analysis... |
| prepare_nodesplit | WinBUGS code for the node-splitting approach |
| prepare_ume | WinBUGS code for the unrelated mean effects model |
| rankosucra_plot | Rankograms and SUCRA curves |
| rnmamod-package | rnmamod: Bayesian Network Meta-analysis with Missing... |
| robustness_index | Robustness index |
| robustness_index_user | Robustness index when 'metafor' or 'netmeta' are used |
| run_metareg | Perform Bayesian pairwise or network meta-regression |
| run_model | Perform Bayesian pairwise or network meta-analysis |
| run_nodesplit | Perform the node-splitting approach |
| run_sensitivity | Perform sensitivity analysis for missing participant outcome... |
| run_series_meta | Perform a series of Bayesian pairwise meta-analyses |
| run_ume | Perform the unrelated mean effects model |
| scatterplots_dev | Deviance scatterplots |
| scatterplot_sucra | Scatterplot of SUCRA values |
| series_meta_plot | End-user-ready results for a series of pairwise meta-analyses |
| taylor_continuous | Pattern-mixture model with Taylor series for continuous... |
| taylor_imor | Pattern-mixture model with Taylor series for a binary outcome |
| trans_quality | Rating the quality of transitivity evaluation |
| ume_plot | End-user-ready results for the unrelated mean effects model |
| unrelated_effects_plot | End-user-ready results for unrelated trial effects model |
