densplot {coda} | R Documentation |

## Probability density function estimate from MCMC output

### Description

Displays a plot of the density estimate for each variable in `x`

,
calculated by the `density`

function.

### Usage

densplot(x, show.obs=TRUE, bwf, main, ylim, ...)

### Arguments

`x` |
An `mcmc` or `mcmc.list` object |

`show.obs` |
Show observations along the x-axis |

`bwf` |
Function for calculating the bandwidth. If omitted,
the bandwidth is calculate by 1.06 times the minimum of the standard
deviation and the interquartile range divided by 1.34 times the sample
size to the negative one fifth power |

`main` |
Title. See `par()` |

`ylim` |
Limits on y axis. See `par()` |

`...` |
Further graphical parameters |

### Note

You can call this function directly, but it is more usually
called by the `plot.mcmc`

function.

If a variable is bounded below at 0, or bounded in the interval [0,1],
then the data are reflected at the boundary before being passed to the
density() function. This allows correct estimation of a non-zero
density at the boundary.

### See Also

`density`

, `plot.mcmc`

.

[Package

*coda* version 0.8-3

Index]