.default                Set default values
RE_cor                  Random effects structure
adapt_delta             Target average acceptance probability
add_integration         Add numerical integration points to aggregate
                        data
as.array.stan_nma       Convert samples into arrays, matrices, or data
                        frames
as.igraph.nma_data      Convert networks to graph objects
as.stanfit              as.stanfit
atrial_fibrillation     Stroke prevention in atrial fibrillation
                        patients
bcg_vaccine             BCG vaccination
blocker                 Beta blockers to prevent mortality after MI
combine_network         Combine multiple data sources into one network
dgent                   Generalised Student's t distribution (with
                        location and scale)
diabetes                Incidence of diabetes in trials of
                        antihypertensive drugs
dic                     Deviance Information Criterion (DIC)
dietary_fat             Reduced dietary fat to prevent mortality
distr                   Specify a general marginal distribution
dlogitnorm              The logit Normal distribution
dlogt                   Log Student's t distribution
dmspline                Distribution functions for M-spline baseline
                        hazards
example_ndmm            Example newly-diagnosed multiple myeloma
example_pso_mlnmr       Example plaque psoriasis ML-NMR
example_smk_fe          Example smoking FE NMA
example_smk_nodesplit   Example smoking node-splitting
example_smk_re          Example smoking RE NMA
example_smk_ume         Example smoking UME NMA
geom_km                 Kaplan-Meier curves of survival data
get_nodesplits          Direct and indirect evidence
hta_psoriasis           HTA Plaque Psoriasis
is_network_connected    Check network connectedness
loo.stan_nma            Model comparison using the 'loo' package
make_knots              Knot locations for M-spline baseline hazard
                        models
marginal_effects        Marginal treatment effects
mcmc_array-class        Working with 3D MCMC arrays
multi                   Multinomial outcome data
multinma-package        multinma: A Package for Network Meta-Analysis
                        of Individual and Aggregate Data in Stan
ndmm_ipd                Newly diagnosed multiple myeloma
nma                     Network meta-analysis models
nma_data-class          The nma_data class
nma_dic-class           The nma_dic class
nma_nodesplit-class     The nma_nodesplit class
nma_prior-class         The nma_prior class
nma_summary-class       The 'nma_summary' class
nodesplit_summary-class
                        The 'nodesplit_summary' class
pairs.stan_nma          Matrix of plots for a 'stan_nma' object
parkinsons              Mean off-time reduction in Parkison's disease
plaque_psoriasis_ipd    Plaque psoriasis data
plot.nma_data           Network plots
plot.nma_dic            Plots of model fit diagnostics
plot.nma_summary        Plots of summary results
plot.nodesplit_summary
                        Plots of node-splitting models
plot_integration_error
                        Plot numerical integration error
plot_prior_posterior    Plot prior vs posterior distribution
posterior_ranks         Treatment rankings and rank probabilities
predict.stan_nma        Predictions of absolute effects from NMA models
print.nma_data          Print 'nma_data' objects
print.nma_dic           Methods for 'nma_dic' objects
print.nma_nodesplit_df
                        Print 'nma_nodesplit_df' objects
print.nma_summary       Methods for 'nma_summary' objects
print.nodesplit_summary
                        Methods for 'nodesplit_summary' objects
print.stan_nma          Print 'stan_nma' objects
priors                  Prior distributions
qbern                   The Bernoulli Distribution
qgamma                  The Gamma distribution
relative_effects        Relative treatment effects
set_agd_arm             Set up arm-based aggregate data
set_agd_contrast        Set up contrast-based aggregate data
set_agd_surv            Set up aggregate survival data
set_ipd                 Set up individual patient data
smoking                 Smoking cessation data
social_anxiety          Social Anxiety
softmax                 Softmax transform
stan_nma-class          The stan_nma class
statins                 Statins for cholesterol lowering
summary.nma_nodesplit_df
                        Summarise the results of node-splitting models
summary.nma_prior       Summary of prior distributions
summary.stan_nma        Posterior summaries from 'stan_nma' objects
theme_multinma          Plot theme for multinma plots
thrombolytics           Thrombolytic treatments data
transfusion             Granulocyte transfusion in patients with
                        neutropenia or neutrophil dysfunction
