predict.mcmcspatsurv: predict.mcmcspatsurv function

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

Description

A function to produce predictions from MCMC output. These could include quantiles of the individual density, survival or hazard functions or quantiles of the density function (if available analytically).

Usage

## S3 method for class 'mcmcspatsurv'
predict(object, type = "density", t = NULL,
  n = 110, indx = NULL, probs = c(0.025, 0.5, 0.975), plot = TRUE,
  pause = TRUE, bw = FALSE, ...)

Arguments

object	an object of class mcmcspatsurv
type	can be "density", "hazard", "survival" or "densityquantile". Default is "density". Note that "densityquantile" is not always analytically tractable for some choices of baseline hazard function.
t	optional vector of times at which to compute the quantiles, Defult is NULL, in which case a uniformly spaced vector of length n from 0 to the maximum time is used
n	the number of points at which to compute the quantiles if t is NULL
indx	the index number of a particular individual or vector of indices of individuals for which the quantiles should be produced
probs	vector of probabilities
plot	whether to plot the result
pause	logical whether to pause between plots, the default is TRUE
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.
...	other arguments, not used here

Value

the required predictions

See Also

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

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