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) |
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_metareg |
Comparator-specific forest plot for network meta-regression |
gower_distance |
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 |
improved_ume |
Detect the frail comparisons in multi-arm trials |
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 |
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.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 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 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 |