When bs(varname) has been used in the formula of a model, this function can be used to reconstruct the posterior relative risk of that parameter over time.
# S3 method for mcmcspatsurv
reconstruct.bs(
mod,
varname,
probs = c(0.025, 0.975),
bw = FALSE,
xlab = NULL,
ylab = NULL,
plot = TRUE,
...
)
model output, created by function survspat
name of the variable modelled by a B-spline
upper and lower quantiles for confidence regions to plot> The default is c(0.025,0.975).
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.
label for x axis, there is a sensible default
label for y axis, there is a sensible default
logical, whether to plot the effect of varname over time
other arguments to be passed to the plotting function.
median, upper and lower confidence bands for the effect of varname over time; the funciton also produces a plot.