ks_test: Goodness-of-fit diagnostics

Description

Warning: EXPERIMENTAL Compute the Kolmogorov-Smirnov test statistic and compare it with a simulated null distribution obtained via a parametric bootstrap.

Usage

ks_test(
  time,
  time2 = NULL,
  event = NULL,
  thresh = 0,
  ltrunc = NULL,
  rtrunc = NULL,
  type = c("right", "left", "interval", "interval2"),
  family = c("exp", "gp", "gomp", "gompmake", "weibull", "extgp", "gppiece",
    "extweibull", "perks", "beard", "perksmake", "beardmake"),
  B = 999L,
  arguments = NULL,
  ...
)

Value

a list with elements

stat the value of the test statistic
pval p-value obtained via simulation

Arguments

time: excess time of the event of follow-up time, depending on the value of event
time2: ending excess time of the interval for interval censored data only.
event: status indicator, normally 0=alive, 1=dead. Other choices are TRUE/FALSE (TRUE for death). For interval censored data, the status indicator is 0=right censored, 1=event at time, 2=left censored, 3=interval censored. Although unusual, the event indicator can be omitted, in which case all subjects are assumed to have experienced an event.
thresh: vector of thresholds
ltrunc: lower truncation limit, default to NULL
rtrunc: upper truncation limit, default to NULL
type: character string specifying the type of censoring. Possible values are "right", "left", "interval", "interval2".
family: string; choice of parametric family
B: number of bootstrap simulations
arguments: a named list specifying default arguments of the function that are common to all elife calls
...: additional parameters, currently ignored