densplot2 {bayesSurv} | 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.

This is slightly modified version of `densplot` function of a `coda` package to conform to my personal preferences.

### Usage

    densplot2(x, plot = TRUE, show.obs = FALSE, bwf, bty = "n", main = "", xlim, ylim, xlab, ylab, ...)

### Arguments

`x` | an `mcmc` or `mcmc.list` object.
`plot` | if `TRUE` this function works more or less in the same way as `coda` function `densplot` function. If `FALSE` this function returns one data frame for each chain with computed density which can be used for future plotting.
`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.
`xlim, ylim, xlab, ylab` | further arguments passed to the `plot.default` function.
`bty, main, ...` | further arguments passed to the `plot.default` function.

### Author(s)

Arnost Komarek arnost.komarek@med.kuleuven.be

[Package bayesSurv version 0.4 Index]