| add_index | Add arm indices and agent identifiers to a dataset |
| alog_pcfb | Studies of alogliptin for lowering blood glucose concentration in patients with type II diabetes |
| changepd | Update model fit statistics depending on calculation for pD |
| check.network | Check if all nodes in the network are connected (identical to function in 'MBNMAtime') |
| cumrank | Plot cumulative ranking curves from MBNMA models |
| demax | Emax dose-response function |
| devdev | Dev-dev plot for comparing deviance contributions from two models |
| devplot | Plot deviance contributions from an MBNMA model |
| dexp | Exponential dose-response function |
| dfpoly | Fractional polynomial dose-response function |
| dloglin | Log-linear (exponential) dose-response function |
| dmulti | Agent-specific dose-response function |
| dnonparam | Non-parameteric dose-response functions |
| dpoly | Polynomial dose-response function |
| DR.comparisons | Adds placebo comparisons for dose-response relationship |
| drop.comp | Drop treatments from multi-arm (>2) studies for node-splitting |
| drop.disconnected | Drop studies that are not connected to the network reference treatment |
| dspline | Spline dose-response functions |
| duser | User-defined dose-response function |
| fitplot | Plot fitted values from MBNMA model |
| gen.parameters.to.save | Automatically generate parameters to save for a dose-response MBNMA model |
| genspline | Generates spline basis matrices for fitting to dose-response function |
| get.prior | Get current priors from JAGS model code |
| get.relative | Calculates relative effects between treatments in an MBNMA model |
| getjagsdata | Prepares data for JAGS |
| gout | Studies of treatments for Serum Uric Acid reduction in patients with gout |
| inconsistency.loops | Identify comparisons in loops that fulfill criteria for node-splitting |
| mbnma.comparisons | Identify unique comparisons within a network |
| mbnma.emax | Run MBNMA model with an Emax dose-response function (without Hill parameter) (DEPRECATED) |
| mbnma.emax.hill | Run MBNMA model with an Emax dose-response function (with a Hill parameter) (DEPRECATED) |
| mbnma.exponential | Run MBNMA model with a exponential dose-response function (DEPRECATED) |
| mbnma.linear | Run MBNMA model with a linear dose-response function (DEPRECATED) |
| mbnma.network | Create an mbnma.network object |
| mbnma.nodesplit | Node-splitting model for testing consistency at the treatment level using MBNMA |
| mbnma.run | Run MBNMA dose-response models |
| mbnma.update | Update MBNMA to monitor deviance nodes in the model |
| mbnma.validate.data | Validates that a dataset fulfills requirements for MBNMA |
| mbnma.write | Write MBNMA dose-response model JAGS code |
| nma.nodesplit | Node-splitting model for testing consistency at the treatment-level |
| nma.run | Run an NMA model |
| osteopain | Studies of treatments for pain relief in patients with osteoarthritis |
| pDcalc | Calculate plugin pD from a JAGS model with univariate likelihood for studies with repeated measurements |
| plot.mbnma | Forest plot for results from dose-response MBNMA models |
| plot.mbnma.network | Create an mbnma.network object |
| plot.mbnma.predict | Plots predicted responses from a dose-response MBNMA model |
| plot.mbnma.rank | Plot histograms of rankings from MBNMA models |
| plot.nma | Run an NMA model |
| plot.nma.nodesplit | Node-splitting model for testing consistency at the treatment-level |
| plot.nodesplit | Node-splitting model for testing consistency at the treatment level using MBNMA |
| predict.mbnma | Predict responses for different doses of agents in a given population based on MBNMA dose-response models |
| print.mbnma.network | Print mbnma.network information to the console |
| print.mbnma.predict | Print summary information from an mbnma.predict object |
| print.mbnma.rank | Prints summary information about an mbnma.rank object |
| print.nma.nodesplit | Prints summary results from an nma.nodesplit object |
| print.nodesplit | Prints summary results from a nodesplit object |
| print.relative.array | Print posterior medians (95% credible intervals) for table of relative effects/mean differences between treatments/classes |
| psoriasis100 | Studies of biologics for treatment of moderate-to-severe psoriasis (100% improvement) |
| psoriasis75 | Studies of biologics for treatment of moderate-to-severe psoriasis (>=75% improvement) |
| psoriasis90 | Studies of biologics for treatment of moderate-to-severe psoriasis (>=90% improvement) |
| rank | Set rank as a method |
| rank.mbnma | Rank parameter estimates |
| rank.mbnma.predict | Rank predicted doses of different agents |
| rank.relative.array | Rank relative effects obtained between specific doses |
| recode.agent | Assigns agent or class variables numeric identifiers |
| ref.synth | Synthesise single arm dose = 0 / placebo studies to estimate E0 |
| rescale.link | Rescale data depending on the link function provided |
| ssri | Studies of Selective Serotonin Reuptake Inhibitors (SSRIs) for major depression |
| summary.mbnma | Print summary of MBNMA results to the console |
| summary.mbnma.network | Print summary mbnma.network information to the console |
| summary.mbnma.predict | Produces a summary data frame from an mbnma.predict object |
| summary.mbnma.rank | Generates summary data frames for an mbnma.rank object |
| summary.nma.nodesplit | Generates a summary data frame for nma.nodesplit objects |
| summary.nodesplit | Generates a summary data frame for nodesplit objects |
| triptans | Studies of triptans for headache pain relief |