stan_nma-class: The stan_nma class

In multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data

The stan_nma class

Description

The stan_nma and stan_mlnmr classes contains the results from running a model with the function nma().

Details

Objects of class stan_nma and stan_mlnmr have the following components:

network

The network data from which the model was run (class nma_data for stan_nma, or class mlnmr_data for stan_mlnmr)

stanfit

The stanfit object returned by calling sampling() for the model

trt_effects

Whether fixed or random effects were used (character string)

consistency

The consistency/inconsistency model used (character string)

regression

The regression model used (formula)

class_interactions

If treatment classes and a regression model are specified, the model used for interactions within each class (common, exchangeable, or independent)

xbar

A named vector of values used for centering

likelihood

The likelihood used (character string)

link

The link function used (character string)

priors

A list containing the priors used (as nma_prior objects)

basis

For mspline and pexp models, a named list of spline bases for each study

The stan_mlnmr sub-class inherits from stan_nma, and differs only in the class of the network object.

multinma documentation built on June 8, 2025, 1:22 p.m.