mle_gen_prog_hybrid: Maximum Likelihood Estimation under Generalized Progressive...

View source: R/mle_est.R

mle_gen_prog_hybridR Documentation

Maximum Likelihood Estimation under Generalized Progressive Hybrid Censoring

Description

Maximum Likelihood Estimation under Generalized Progressive Hybrid Censoring

Usage

mle_gen_prog_hybrid(
  data,
  pdf,
  cdf,
  init_par,
  R_plan = NULL,
  method = "BFGS",
  lower = -Inf,
  upper = Inf
)

Arguments

data

Object of class comp_risk_rel_data.

pdf

Density function.

cdf

CDF function.

init_par

Initial parameter values.

R_plan

Progressive removal vector.

method

Maximization algorithm.

lower

Lower parameter bound.

upper

Upper parameter bound.

Value

S3 object of class mle_fit.

Examples

dat <- gen_gen_prog_hybrid(
  pdf = function(x) dexp(x, rate = 1),
  cdf = function(x) pexp(x, rate = 1),
  lower = 0, upper = 10, n = 20, m = 10, k = 5,
  T_star = 1.2, R_plan = rep(1, 10), seed = 123
)
mle_gen_prog_hybrid(
  data = dat,
  pdf = function(x, theta) dexp(x, rate = theta[1]),
  cdf = function(x, theta) pexp(x, rate = theta[1]),
  init_par = c(0.8), R_plan = rep(1, 10), method = "BFGS"
)

CompRiskRel documentation built on Aug. 5, 2026, 9:08 a.m.