Convert samples into arrays, matrices, or data frames
Samples (post warm-up) from a stan_nma model object can be coerced into an
array, matrix, or data frame.
## S3 method for class 'stan_nma' as.array(x, ..., pars, include = TRUE) ## S3 method for class 'stan_nma' as.data.frame(x, ..., pars, include = TRUE) ## S3 method for class 'stan_nma' as.matrix(x, ..., pars, include = TRUE)
x |
A |
... |
Additional arguments passed to |
pars |
Optional character vector of parameter names to include in output. If not specified, all parameters are used. |
include |
Logical, are parameters in |
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.
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