f_pdf_rcpp2: Compute the PDF of the Parametric Proportional Odds Model...

In cmpp: Direct Parametric Inference for the Cumulative Incidence Function in Competing Risks

Compute the PDF of the Parametric Proportional Odds Model (POM)

Description

This function computes the probability density function (PDF) of the parametric model (POM Approach).

Arguments

Params	A numeric vector of parameters.
Z	A numeric vector of covariates.
x	A numeric value representing the time point.

Value

A numeric value representing the PDF.

Examples

library(cmpp)
set.seed(1984)
features <- matrix(rnorm(300, 1, 2), nrow = 100, ncol = 3)
delta1 <- sample(c(0, 1), 100, replace = TRUE)
delta2 <- 1 - delta1
x <- rexp(100, rate = 1/9)
Initialize(features, x, delta1, delta2, h = 1e-4)
params <- rep(0.001, (ncol(features) + 2))
pdf_value <- f_pdf_rcpp2(params, features[1, ], x[3])
print(pdf_value)

cmpp documentation built on June 8, 2025, 11:39 a.m.