Conditional cause-of-failure probability — conditional_cause

Returns a closure computing \(P(K=j | T=t, \theta)\) for all components, conditional on a specific failure time t. By Theorem 6 of the foundational paper, this equals \(h_j(t; \theta) / \sum_l h_l(t; \theta)\).

Usage

conditional_cause_probability(model, ...)

# S3 method for class 'dfr_series_md'
conditional_cause_probability(model, ...)

Arguments

model: A likelihood model object.
...: Additional arguments passed to the returned closure.

Value

A function with signature function(t, par, ...) returning an n x m matrix where column j gives P(K=j | T=t, theta).

Methods (by class)

conditional_cause_probability(dfr_series_md): Method for masked-cause DFR series systems using component hazard ratios.