| 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 |
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)