View source: R/predict_shrinkDSM.R
predict.shrinkDSM | R Documentation |
Draws from the posterior predictive distribution of survival times based on a fitted
time-varying parameter survival model resulting from a call to
shrinkDSM
.
## S3 method for class 'shrinkDSM' predict(object, newdata, cens = TRUE, ...)
object |
an object of class |
newdata |
a data frame containing the covariates used for the prediction.
The names of the covariates
have to match the names used during model estimation in the call to |
cens |
logical value indicating whether the predictions should be censored at the
largest survival time in the data used for estimation.
The default value is |
... |
included for S3 method consistency and currently ignored. |
The value returned is a list object of class shrinkTVP_pred
containing the
samples from the
posterior predictive density.
Peter Knaus peter.knaus@wu.ac.at
Daniel Winkler dwinkler@wu.ac.at
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)
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