discreteVPCTTE: VPC for time-to-event models

In saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

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 [e-mail]

See Also

SaemixObject, saemix, saemix.plot.vpc, simulateDiscreteSaemix

Tutorials on TTE-VPC TODO

saemix documentation built on July 9, 2023, 7:43 p.m.