rtype2: Simulating a progressive type-II censoring scheme

In bccp: Bias Correction under Censoring Plan

Description

Simulates a progressive type-II censoring scheme.

Usage

rtype2(n, R, param, mle, cdf, lb = 0, ub = Inf)

Arguments

n	Number of items placed on the test at time zero.
R	A vector that contains number R, of the removed alive items.
param	Character vector that contains the name of family's parameters.
mle	The maximum likelihood estimators of the parameters.
cdf	Expression for the cumulative distribution function.
lb	Lower bound of the family's support. That is zero by default.
ub	Upper bound of the family's support. That is Inf by default.

Value

A data frame with two columns including observed liftimes X, and number of censored items R.

Author(s)

Mahdi Teimouri

References

N. Balakrishnan and R. A. Sandhu 1995. A Simple Simulational Algorithm for Generating Progressive Type-II Censored Samples. The American Statistician, 49(2), 229-230.

Examples

    n <- 20
    R <- c(9, rep(0, 10) )
param <- c("alpha","beta")
  mle <- c(0.80, 12)
  cdf <- quote( 1-exp( beta*(1-exp( x^alpha )) ) )
   lb <- 0
   ub <- Inf
rtype2(n = n, R = R, param = param, mle = mle, cdf = cdf, lb = lb, ub = ub)

bccp documentation built on May 18, 2021, 9:07 a.m.