optimal_design_hybrid: Optimal Design Selection for Hybrid Censoring Schemes

In CompRiskRel: Reliability and Competing Risks Analysis under Hybrid Censoring

Optimal Design Selection for Hybrid Censoring Schemes

Description

Optimal Design Selection for Hybrid Censoring Schemes

Usage

optimal_design_hybrid(
  n,
  r_candidates,
  T_candidates,
  pdf,
  cdf,
  par,
  criterion = c("D-optimal", "A-optimal", "cost")
)

Arguments

n	Sample size.
r_candidates	Candidate failure count choices.
T_candidates	Candidate time limit choices.
pdf	Probability density function of lifetime distribution.
cdf	Cumulative distribution function of lifetime distribution.
par	Model parameters.
criterion	Optimization criterion: "D-optimal" (maximize determinant of Fisher Information), "A-optimal" (minimize trace of inverse Fisher Information), or "cost".

Value

List containing optimal choice of (r, T) and associated information measure.

Examples

optimal_design_hybrid(
  n = 20, r_candidates = c(5, 10, 15), T_candidates = c(0.5, 1.0, 1.5),
  pdf = function(x, th) dexp(x, rate = th[1]),
  cdf = function(x, th) pexp(x, rate = th[1]),
  par = c(1.0), criterion = "D-optimal"
)

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