fit_ditrunc_elife: Fit excess lifetime models for doubly interval truncated data

Description

This function is a wrapper around constrained optimization routines for different models with non-informative censoring and truncation patterns.

Usage

fit_ditrunc_elife(
  time,
  ltrunc1 = NULL,
  rtrunc1 = NULL,
  ltrunc2 = NULL,
  rtrunc2 = NULL,
  thresh = 0,
  family = c("exp", "gp", "gomp", "gompmake", "weibull", "extgp", "gppiece",
    "extweibull", "perks", "beard", "perksmake", "beardmake"),
  weights = NULL,
  export = FALSE,
  start = NULL,
  restart = FALSE,
  arguments = NULL,
  ...
)

Value

an object of class elife_par

Arguments

time: excess time of the event of follow-up time, depending on the value of event
ltrunc1: lower truncation limit, default to NULL
rtrunc1: upper truncation limit, default to NULL
ltrunc2: lower truncation limit, default to NULL
rtrunc2: upper truncation limit, default to NULL
thresh: vector of thresholds
family: string; choice of parametric family, either exponential (exp), Weibull (weibull), generalized Pareto (gp), Gompertz (gomp), Gompertz-Makeham (gompmake) or extended generalized Pareto (extgp).
weights: weights for observations
export: logical; should data be included in the returned object to produce diagnostic plots? Default to FALSE.
start: vector of starting values for the optimization routine. If NULL, the algorithm attempts to find default values and returns a warning with false convergence diagnostic if it cannot.
restart: logical; should multiple starting values be attempted? Default to FALSE.
arguments: a named list specifying default arguments of the function that are common to all elife calls
...: additional arguments for optimization, currently ignored.