Skip to contents

Compute primary event censored quantiles

Source: R/pcens_quantile.R
pcens_quantile.Rd

This function inverts the primary event censored CDF to compute quantiles. It uses numerical optimisation via optim to find the value q such that pcens_cdf() is close to the specified probability. Currently, only the default numerical inversion method is implemented. Future analytical solutions may be added.

Usage

pcens_quantile(object, p, pwindow, L = 0, D = Inf, use_numeric = FALSE, ...)

Arguments

object

A primarycensored object as created by new_pcens().

p

A vector of probabilities at which to compute the quantiles.

pwindow

Primary event window

L

Minimum delay (lower truncation point). If greater than 0, the distribution is left-truncated at L. This is useful for modelling generation intervals where day 0 is excluded, particularly when used in renewal models. Defaults to 0 (no left truncation).

D

Maximum delay (upper truncation point). If finite, the distribution is truncated at D. If set to Inf, no upper truncation is applied. Defaults to Inf.

use_numeric

Logical; if TRUE forces the use of numeric inversion even if an analytical solution is available (not yet implemented).

...

Additional arguments to be passed to pdist

Value

Vector of primary event censored quantiles.

See also

Low level primary event censored distribution objects and methods new_pcens(), pcens_cdf(), pcens_cdf.default(), pcens_cdf.pcens_pgamma_dunif(), pcens_cdf.pcens_plnorm_dunif(), pcens_cdf.pcens_pweibull_dunif(), pcens_quantile.default()