Package index • maskedhaz

Model Constructor

Create masked-cause series system likelihood models

dfr_series_md(): Masked-Cause Likelihood Model for DFR Series Systems
is_dfr_series_md(): Test whether an object is a dfr_series_md
print(<dfr_series_md>): Print method for dfr_series_md

Likelihood Inference

Log-likelihood, score, Hessian, and MLE fitting

loglik(<dfr_series_md>): Log-likelihood for masked-cause DFR series systems
score(<dfr_series_md>): Score function for masked-cause DFR series systems
hess_loglik(<dfr_series_md>): Hessian of log-likelihood for masked-cause DFR series systems
fit(<dfr_series_md>): MLE fitting for masked-cause DFR series systems

Data Generation

Simulate masked series system failure data

rdata(<dfr_series_md>): Random data generation for masked-cause DFR series systems

Diagnostics

Cause-of-failure probabilities and model inspection

conditional_cause_probability(): Conditional cause-of-failure probability
cause_probability(): Marginal cause-of-failure probability
assumptions(<dfr_series_md>): Assumptions for masked-cause DFR series systems
ncomponents(<dfr_series_md>): Number of components in a masked-cause DFR series system
component_hazard(<dfr_series_md>): Component hazard for a masked-cause DFR series system