densplot2

an <code><a rd-options="coda" href="/link/mcmc?package=bayesSurv&version=2.6&to=coda" data-mini-rdoc="coda::mcmc">mcmc</a></code> or <code><a rd-options="coda" href="/link/mcmc.list?package=bayesSurv&version=2.6&to=coda" data-mini-rdoc="coda::mcmc.list">mcmc.list</a></code> object.

if <code>TRUE</code> this function works more or less in the
    same way as <code>coda</code> function <code><a rd-options="coda" href="/link/densplot?package=bayesSurv&version=2.6&to=coda" data-mini-rdoc="coda::densplot">densplot</a></code> function.
    If <code>FALSE</code> this function returns one data frame for each chain
    with computed density which can be used for future plotting.

plot

show.obs

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.

further arguments passed to the
    <code><a rd-options="" href="/link/plot.default?package=bayesSurv&version=2.6" data-mini-rdoc="bayesSurv::plot.default">plot.default</a></code> function.

xlim, ylim, xlab, ylab

bty, main, ...


  Displays a plot of the density estimate for each variable in x, calculated by the density function. <p></p><p>  This is slightly modified version of <code><a rd-options="coda" href="/link/densplot?package=bayesSurv&version=2.6&to=coda" data-mini-rdoc="coda::densplot">densplot</a></code> function
  of a <code>coda</code> package to conform to my personal preferences.
</p>

hplot

Contains Bayesian implementations of Mixed-Effects Accelerated Failure Time (MEAFT) models
for censored data. Those can be not only right-censored but also interval-censored,
doubly-interval-censored or misclassified interval-censored.

densplot2: Probability density function estimate from MCMC output

Description

Usage

Arguments