# Bayesian Network Meta-Analysis with Missing Participants

## Documentation for package ‘rnmamod’ version 0.3.0

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

## Help Pages

rnmamod-package | 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
data_preparation | Prepare the dataset in the proper format for R2jags
describe_network | A function to describe the evidence base
forestplot | Comparator-specific forest plot for network meta-analysis
forestplot_metareg | Comparator-specific forest plot for network meta-regression
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 parameter
improved_ume | Detect the frail comparisons in multi-arm trials
intervalplot_panel_ume | A panel of interval plots for the unrelated mean effects model
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
missingness_param_prior | Define the mean value of the normal distribution of the missingness parameter
netplot | Network plot and description of the evidence base
nma.baker2009 | Pharmacological interventions for chronic obstructive pulmonary disease
nma.bottomley2011 | Pharmacological interventions for moderately severe scalp psoriasis
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 and meta-regression
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 | rnmamod: Bayesian Network Meta-analysis with Missing Participants
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 data
run_series_meta | Perform a series of Bayesian pairwise meta-analyses
run_ume | Perform the unrelated mean effects model
scatterplots_dev | Deviance scatterplot
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 outcome
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