posteriorcov {spatsurv}R Documentation

posteriorcov function

Description

A function to produce a plot of the posterior covariance function with upper and lower quantiles.

Usage

posteriorcov(
  x,
  probs = c(0.025, 0.5, 0.975),
  rmax = NULL,
  n = 100,
  plot = TRUE,
  bw = FALSE,
  corr = FALSE,
  ...
)

Arguments

x

an object of class mcmcspatsurv

probs

vector of probabilities to be fed to quantile function

rmax

maximum distance in space to compute this distance up to

n

the number of points at which to evaluate the posterior covariance.

plot

whether to plot the result

bw

Logical. Plot in black/white/greyscale? Default is to produce a colour plot. Useful for producing plots for journals that do not accept colour plots.

corr

logical whether to return the correlation function, default is FALSE i.e. returns the covariance function

...

other arguments to be passed to matplot function

Value

produces a plot of the posterior spatial covariance function.

See Also

print.mcmcspatsurv, quantile.mcmcspatsurv, summary.mcmcspatsurv, vcov.mcmcspatsurv, frailtylag1, spatialpars, hazardpars, fixedpars, randompars, baselinehazard, predict.mcmcspatsurv, priorposterior, MCE, hazardexceedance


[Package spatsurv version 2.0-1 Index]