View source: R/predict_shrinkDSM.R
plot.shrinkDSM_pred | R Documentation |
plot.shrinkDSM_pred
generates plots visualizing the posterior predictive density generated by predict.shrinkDSM
.
## S3 method for class 'shrinkDSM_pred' plot(x, dens_args, legend = TRUE, ...)
x |
a |
dens_args |
optional named list containing arguments passed to |
legend |
logical value inidicating whether a legend should be added. Defaults to |
... |
further arguments to be passed to |
Called for its side effects and returns invisibly.
Other plotting functions:
plot.mcmc.dsm.tvp()
,
plot.shrinkDSM()
set.seed(123) data("gastric") # Create intervals for piecewise exponential model intervals <- divisionpoints(gastric$time, gastric$status, 2) # Estimate model mod <- shrinkDSM(time ~ radiation, gastric, delta = gastric$status, S = intervals) # Draw from posterior predictive distribution newdata <- data.frame(radiation = c(0, 1)) pred <- predict(mod, newdata = newdata) # Plot predictions plot(pred)
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