samplesDensity {BRugs} | R Documentation

## Plot density estimate or histogram

### Description

This function plots a smoothed kernel density estimate for a variable if it is continuous or a histogram if it is discrete.

### Usage

    samplesDensity(node, beg = samplesGetBeg(), end = samplesGetEnd(),
        firstChain = samplesGetFirstChain(),
        lastChain = samplesGetLastChain(), thin = samplesGetThin(),
        mfrow = c(3, 2), ask = NULL, ann = TRUE, ...)

### Arguments

`node` | Character vector of length 1, name of a variable in the model.
`beg, end` | Arguments to select a slice of monitored values corresponding to iterations `beg:end`.
`firstChain, lastChain` | Arguments to select a sub group of chains to plot density estimate or histogram for.
`thin` | to only use every `thin`-th value of the stored sample for statistics.
`mfrow, ask, ann` | Graphical parameters, see `par` for details. `ask` defaults to `TRUE` unless it is plotting into an already opened non-interactive device.
`...` | Further graphical parameters as in `par` may also be passed as arguments to `plotDensity`.

### Details

If the variable of interest is an array, slices of the array can be selected using the notation `variable[lower0:upper0, lower1:upper1, ...]`. A star ‘`*`’ can be entered as shorthand for all the stored samples.

If the arguments are left at their defaults the whole sample for all chains will be used for calculation.

### Note

If the MCMC simulation has an adaptive phase it will not be possible to make inference using values sampled before the end of this phase.

### See Also

`BRugs`, `help.WinBUGS`

[Package BRugs version 0.3-2 Index]