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 forstan_mlnmr
)stanfit
The
stanfit
object returned by callingsampling()
for the modeltrt_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
andpexp
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.