View source: R/postprocessing.R
reconstruct.bs.mcmcspatsurv | R Documentation |
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 class 'mcmcspatsurv'
reconstruct.bs(
mod,
varname,
probs = c(0.025, 0.975),
bw = FALSE,
xlab = NULL,
ylab = NULL,
plot = TRUE,
...
)
mod |
model output, created by function survspat |
varname |
name of the variable modelled by a B-spline |
probs |
upper and lower quantiles for confidence regions to plot> The default is c(0.025,0.975). |
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. |
xlab |
label for x axis, there is a sensible default |
ylab |
label for y axis, there is a sensible default |
plot |
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.