Samples (post warm-up) from a stan_nma
model object can be coerced into an
array, matrix, or data frame.
# S3 method for stan_nma
as.array(x, ..., pars, include = TRUE)# S3 method for stan_nma
as.data.frame(x, ..., pars, include = TRUE)
# S3 method for stan_nma
as.matrix(x, ..., pars, include = TRUE)
A stan_nma
object
Additional arguments passed to as.array.stanfit()
Optional character vector of parameter names to include in output. If not specified, all parameters are used.
Logical, are parameters in pars
to be included (TRUE
, default) or excluded (FALSE
)?
The as.array()
method produces a 3D array [Iteration, Chain,
Parameter] containing posterior samples of each parameter (as class
mcmc_array). This has the side effect of enabling
bayesplot
functions to
seamlessly work on stan_nma
objects.
The as.data.frame()
method produces a data frame containing posterior
samples of each parameter, combined over all chains.
The as.matrix()
method produces a matrix containing posterior samples of
each parameter, combined over all chains.