md_bernoulli_cand_C1_C2_C3

Bernoulli candidate set model is a particular type of uninformed model. Note that we do not generate candidate sets with this function. See md_cand_sampler for that.

Usage

md_bernoulli_cand_C1_C2_C3(
  md,
  p,
  compvar = "t",
  qvar = "q",
  deltavar = "delta"
)

Arguments

md

masked data.

p

a vector of probabilities

compvar

column name of the component lifetime variables, defaults to t, e.g., t1, t2, ..., tm.

qvar

column prefix for component probabilities, defaults to q, e.g., q1, q2, ..., qm.

deltavar

column name of the right-censoring indicator variable, defaults to delta.

Details

This model satisfies conditions C1, C2, and C3. The failed component will be in the corresponding candidate set with probability 1, and the remaining components will be in the candidate set with probability p.