# densplot

From coda v0.17-1
by Martyn Plummer

##### Probability density function estimate from MCMC output

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

,
calculated by the `density`

function.

- Keywords
- hplot

##### Usage

```
densplot(x, show.obs = TRUE, bwf,
ylim, xlab, ylab = "", type="l", main, ...)
```

##### 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
- ylim
- Limits on y axis. See
`plot.window`

- xlab
- X-axis label. By default this will show the sample size
and the bandwidth used for smoothing. See
`plot`

- ylab
- Y-axis label. By default, this is blank. See
`plot`

- type
- Plot type. See
`plot`

- main
- An overall title for the plot. See
`title`

- ...
- 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

*Documentation reproduced from package coda, version 0.17-1, License: GPL (>= 2)*

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