discreteVPCTTE: VPC for time-to-event models

View source: R/func_discreteVPC.R

discreteVPCTTER Documentation

VPC for time-to-event models

Description

This function provides VPC plots for time-to-event data models (work in progress)

Usage

discreteVPCTTE(
  object,
  ngrid = 200,
  interpolation.method = "step",
  verbose = FALSE,
  ...
)

Arguments

object

an saemixObject object returned by the saemix function. The object must include simulated data under the empirical design, using the model and estimated parameters from a fit, produced via the simulateDiscreteSaemix function

ngrid

number of grid points on the X-axis to extrapolate the KM-VPC

interpolation.method

method to use for the interpolation of the KM for the simulated datasets. Available methods are "step": the value of the survival function for a given grid point is set to the value of the last time "lin": a linear approximation is used between two consecutive times (defaults to "step")

verbose

whether to print messages (defaults to FALSE)

...

additional arguments, used to pass graphical options (to be implemented, currently not available)

Details

add details on TTE VPC, RTTE VPC, etc...

Author(s)

Emmanuelle Comets emmanuelle.comets@inserm.fr

See Also

SaemixObject, saemix, saemix.plot.vpc, simulateDiscreteSaemix

Tutorials on TTE-VPC TODO


saemix documentation built on May 29, 2024, 10:43 a.m.