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