new_pcens: S3 class for primary event censored distribution computation

In primarycensored: Primary Event Censored Distributions

S3 class for primary event censored distribution computation

Description

S3 class for primary event censored distribution computation

Usage

new_pcens(pdist, dprimary, dprimary_args, ...)

Arguments

pdist	Distribution function (CDF). The package can identify base R distributions for potential analytical solutions. For non-base R functions, users can apply add_name_attribute() to yield properly tagged functions if they wish to leverage the analytical solutions.
dprimary	Function to generate the probability density function (PDF) of primary event times. This function should take a value x and a pwindow parameter, and return a probability density. It should be normalized to integrate to 1 over [0, pwindow]. Defaults to a uniform distribution over [0, pwindow]. Users can provide custom functions or use helper functions like dexpgrowth for an exponential growth distribution. See pcd_primary_distributions() for examples. The package can identify base R distributions for potential analytical solutions. For non-base R functions, users can apply add_name_attribute() to yield properly tagged functions if they wish to leverage analytical solutions.
dprimary_args	List of additional arguments to be passed to dprimary. For example, when using dexpgrowth, you would pass list(min = 0, max = pwindow, r = 0.2) to set the minimum, maximum, and rate parameters
...	Additional arguments to be passed to pdist

Value

An object of class ⁠pcens_{pdist_name}_{dprimary_name}⁠. This contains the primary event distribution, the delay distribution, the delay distribution arguments, and any additional arguments. It can be used with the pcens_cdf() function to compute the primary event censored cdf.

See Also

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

Examples

new_pcens(
  pdist = pgamma, dprimary = dunif, dprimary_args = list(min = 0, max = 1),
  shape = 1, scale = 1
)

primarycensored documentation built on June 15, 2026, 5:06 p.m.