predict.fahrmeier_94

Predict function for the result of ddhazard

Predict function for the result of ddhazard

Usage
"predict"(object, new_data, type = c("response", "term"), tstart = "start", tstop = "stop", use_parallel = F, sds = F, max_threads = getOption("ddhazard_max_threads"), ...)
Arguments
object
Result of a ddhazard call
new_data
New data to base predictions on
type
Either "response" for predicted probability of death or "term" for predicted terms in the linear predictor
tstart
Name of the start time column in new_data. It must corresponds to tstart used in the Surv(tstart, tstop, event) in the formula passed to ddhazard
tstop
same as tstart for the stop argument
use_parallel
TRUE if computation for type = "response" should be computed in parallel with the parallel package
sds
TRUE if point wise standard deviation should be computed. Convenient if you use functions like ns and you only want one term per term in the right hand site of the formula used in ddhazard
max_threads
Maximum number of threads to use. -1 if it should be determined by a call to detectCores
...
Not used
Term

The result of type = "term" is a list with the following elements

terms
Is a 3D array. The first dimension is the number of bins, the second dimension is rows in new_data and the last dimension is the state space terms
sds
Similar to terms for the point wise confidence intervals using the smoothed co-variance matrices

Response

The result of type = "response" is a list with the elements below. The function check if there are columns in new_data which's names match tstart and tstop. If not, then each row in new data will get a predicted probability of dying in every bin.

fits
Fitted probability of dying
istart
Vector with the index of the first bin the elements in fits is in

Aliases
  • predict.fahrmeier_94
Documentation reproduced from package dynamichazard, version 0.1.0, License: GPL-2

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