as.array.stan_nma: Convert samples into arrays, matrices, or data frames

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

Convert samples into arrays, matrices, or data frames

Description

Samples (post warm-up) from a stan_nma model object can be coerced into an array, matrix, or data frame.

Usage

## 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)

Arguments

x	A stan_nma object
...	Additional arguments passed to as.array.stanfit()
pars	Optional character vector of parameter names to include in output. If not specified, all parameters are used.
include	Logical, are parameters in pars to be included (TRUE, default) or excluded (FALSE)?

Value

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.

multinma documentation built on May 31, 2023, 5:46 p.m.