stan_nma-class function

The stan_nma class

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.