R: Summarize Posterior Samples

posterior_summary.brmsfit {brms} | R Documentation

## Summarize Posterior Samples

### Description

Summarizes posterior samples based on point estimates (mean or median), estimation errors (SD or MAD) and quantiles.

### Usage

    ## S3 method for class 'brmsfit'
    posterior_summary(x, pars = NA, probs = c(0.025,
      0.975), robust = FALSE, ...)

    posterior_summary(x, ...)

    ## Default S3 method:
    posterior_summary(x, probs = c(0.025, 0.975),
      robust = FALSE, ...)

### Arguments

`x` | An R object.
`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.
`probs` | The percentiles to be computed by the `quantile` function.
`robust` | If `FALSE` (the default) the mean is used as the measure of central tendency and the standard deviation as the measure of variability. If `TRUE`, the median and the median absolute deviation (MAD) are applied instead.
`...` | More arguments passed to or from other methods.

### Value

A matrix where rows indicate parameters and columns indicate the summary estimates.

### Examples

    ## Not run:
    fit <- brm(time ~ age * sex, data = kidney)
    posterior_summary(fit)

    ## End(Not run)

[Package brms version 2.6.0 Index]