posteriorcov: posteriorcov function

In bentaylor1/spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models

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

bentaylor1/spatsurv documentation built on May 12, 2019, 3:02 p.m.