R: Plot MCMC Juxtaposition

plot.juxtapose {LaplacesDemon} | R Documentation

## Plot MCMC Juxtaposition

### Description

This may be used to plot a juxtaposition of MCMC algorithms according either to `IAT` or ISM (Independent Samples per Minute).

### Usage

    ## S3 method for class 'juxtapose'
    plot(x, Style="ISM", ...)

### Arguments

`x` | This required argument is an object of class `juxtapose`.
`Style` | This argument accepts either `IAT` or `ISM`, and defaults to `ISM`.
`...` | Additional arguments are unused.

### Details

When `Style="IAT"`, the medians and 95% probability intervals of the integrated autocorrelation times (IATs) of MCMC algorithms are displayed in a caterpillar plot. The best, or least inefficient, MCMC algorithm is the algorithm with the lowest IAT.

When `Style="ISM"`, the medians and 95% probability intervals of the numbers of independent samples per minute (ISM) of MCMC algorithms are displayed in a caterpillar plot. The best, or least inefficient, MCMC algorithm is the algorithm with the highest ISM.

For more information, see the `Juxtapose` function.

### Author(s)

Statisticat, LLC. software@bayesian-inference.com

### See Also

`Juxtapose`

[Package LaplacesDemon version 16.1.1 Index]