Compute primary event censored CDF

This function dispatches to either analytical solutions (if available) or numerical integration via the default method. To see which combinations have analytical solutions implemented, use methods(pcens_cdf). For example, pcens_cdf.gamma_unif indicates an analytical solution exists for gamma delay with uniform primary event distributions.

Usage

pcens_cdf(object, q, pwindow, use_numeric = FALSE)

Arguments

object

A primarycensored object as created by new_pcens().

q

Vector of quantiles

pwindow

Primary event window. Use pwindow = 0 for an exactly observed primary event, in which case the delay CDF is used directly.

use_numeric

Logical, if TRUE forces use of numeric integration even for distributions with analytical solutions. This is primarily useful for testing purposes or for settings where the analytical solution breaks down.

Value

Vector of computed primary event censored CDFs

Details

When pwindow = 0 the primary event time is known exactly and the primary event censored CDF is the delay CDF. This case is handled before dispatch, so every method returns pdist(q) without integrating over the primary event window.

See also

Low level primary event censored distribution objects and methods new_pcens(), pcens_cdf.default(), pcens_cdf.pcens_pdiscretehazard(), pcens_cdf.pcens_pdiscretestep(), pcens_cdf.pcens_pgamma_dunif(), pcens_cdf.pcens_pgengamma.orig_dunif(), pcens_cdf.pcens_pgengamma_dunif(), pcens_cdf.pcens_plnorm_dunif(), pcens_cdf.pcens_pweibull_dunif(), pcens_pmf(), pcens_pmf.default(), pcens_quantile(), pcens_quantile.default(), update.pcens()