brms (version 0.9.1)

posterior_samples.brmsfit: Extract posterior samples

Description

Extract posterior samples of specified parameters

Usage

## S3 method for class 'brmsfit':
posterior_samples(x, pars = NA, parameters = NA,
  exact_match = FALSE, add_chain = FALSE, add_chains = FALSE,
  subset = NULL, as.matrix = FALSE, ...)

posterior_samples(x, pars = NA, ...)

Arguments

x

An R object typically of class brmsfit

pars

Names of parameters for which posterior samples should be returned, as given by a character vector or regular expressions. By default, all posterior samples of all parameters are extracted

parameters

A deprecated alias of pars

exact_match

Indicates whether parameter names should be matched exactly or treated as regular expression. Default is FALSE.

add_chain

A flag indicating if the returned data.frame should contain two additional columns. The chain column indicates the chain in which each sample was generated, the iter column indicates the iteration number within

add_chains

A deprecated alias of add_chain. Note that the chain column will be named chains instead.

subset

A numeric vector indicating the rows (i.e., posterior samples) to be returned. If NULL (the default), all posterior samples are returned.

as.matrix

Should the output be a matrix instead of a data.frame? Defaults to FALSE

...

additional arguments

Value

• A data frame containing the posterior samples, with one column per parameter.

Details

Currently there are methods for brmsfit objects.

Examples

fit <- brm(rating ~ treat + period + carry + (1|subject), 
           data = inhaler, family = "cumulative")

#extract posterior samples of fixed effects 
samples1 <- posterior_samples(fit, "^b")
head(samples1)

#extract posterior samples of standard deviations of random effects
samples2 <- posterior_samples(fit, "^sd")
head(samples2)