resample_param_cens: Parametric resampling scheme for a parametric regression...

In gofreg: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression

Parametric resampling scheme for a parametric regression model under random censorship

Description

Generate a new, resampled dataset of the same shape as data following the given model. The covariates X are kept the same. Survival times Y are drawn according to model$sample_yx() and censoring times C according to the KM estimator.

Usage

resample_param_cens(data, model)

Arguments

data	data.frame() with columns x, z and delta containing the original data
model	ParamRegrModel to use for the resampling

Value

data.frame() with columns x, z and delta containing the resampled data

Examples

# Create an example dataset
n <- 10
x <- cbind(runif(n), rbinom(n, 1, 0.5))
model <- NormalGLM$new()
params <- list(beta = c(2, 3), sd = 1)
y <- model$sample_yx(x, params = params)
c <- rnorm(n, mean(y) * 1.2, sd(y) * 0.5)
z <- pmin(y, c)
delta <- as.numeric(y <= c)
data <- dplyr::tibble(x = x, z = z, delta = delta)

# Fit the model to the data
model$fit(data, params_init = params, inplace = TRUE, loglik = loglik_xzd)

# Resample from the model given data
resample_param_cens(data, model)

gofreg documentation built on Oct. 4, 2024, 5:10 p.m.