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Last data update: 2014.03.03

R: Probability density function estimate from MCMC output

densplot

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, 
                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.

Probability density function estimate from MCMC output

Description

Usage

Arguments

Note

See Also

Results