R: Bayesian Network Meta-Analysis with Missing Participants

# Bayesian Network Meta-Analysis with Missing Participants

## Documentation for package ‘rnmamod’ version 0.5.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## 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
comp_clustering | End-user-ready results for comparison dissimilarity and hierarchical clustering (Comparisons' comparability for transitivity evaluation)
covar_contribution_plot | Visualising study percentage contributions against a covariate
data_preparation | Prepare the dataset in the proper format for R2jags
dendro_heatmap | Dendrogram with amalgamated heatmap (Comparisons' comparability for transitivity evaluation)
describe_network | A function to describe the evidence base
distr_characteristics | Visualising the distribution of characteristics (Comparisons' comparability for transitivity evaluation)
forestplot | Comparator-specific forest plot for network meta-analysis
forestplot_juxtapose | Forest plot of juxtaposing several network meta-analysis models
forestplot_metareg | Comparator-specific forest plot for network meta-regression
gower_distance | Weighted Gower's dissimilarity measure (Trials' comparability for transitivity evaluation)
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
heter_density_plot | Visualising the density of two prior distributions for the heterogeneity parameter
improved_ume | Detect the frail comparisons in multi-arm trials
inconsistency_variance_prior | Function for the hyper-parameters of the prior distribution of the inconsistency variance (network meta-analysis with random inconsistency effects)
internal_measures_plot | Internal measures for cluster validation (Comparisons' comparability for transitivity evaluation)
intervalplot_panel_ume | A panel of interval plots for the unrelated mean effects model
kld_barplot | Barplot for the Kullback-Leibler divergence measure (missingness scenarios)
kld_inconsistency | Density plots of local inconsistency results and Kullback-Leibler divergence when 'rnmamod', 'netmeta' or 'gemtc' R packages are used
kld_inconsistency_user | Density plots of local inconsistency results and Kullback-Leibler divergence (When dataset is created by the user)
kld_measure | Function for the Kullback-Leibler Divergence of two normally distributed treatment effects for the same pairwise comparison
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
miss_characteristics | Visualising missing data in characteristics (Comparisons' comparability for transitivity evaluation)
netplot | Network plot
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.fluoride.donegan2018 | Topical fluoride interventions for preventing dental caries
nma.liu2013 | Antidepressants in Parkinson's disease
nma.malaria.donegan2018 | Artemether, artesunate and quinine for severe malaria
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
plot_study_dissimilarities | Plot Gower's disimilarity values for each study (Transitivity evaluation)
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 scatterplots
scatterplot_sucra | Scatterplot of SUCRA values
series_meta_plot | End-user-ready results for a series of pairwise meta-analyses
study_perc_contrib | Calculate study percentage contributions to summary treatment effects or regression coefficients
table_tau2_prior | Predictive distributions for the between-study variance in a future meta-analysis on odds ratio or standardised mean difference
taylor_continuous | Pattern-mixture model with Taylor series for continuous outcome
taylor_imor | Pattern-mixture model with Taylor series for a binary outcome
ume_plot | End-user-ready results for the unrelated mean effects model
unrelated_effects_plot | End-user-ready results for unrelated trial effects model