Initial CRAN release.
dfr_series_md() constructor builds a masked-cause likelihood model for a
series system whose components are arbitrary dfr_dist objects from the
flexhaz and serieshaz packages. The resulting model implements the
series_md protocol defined in maskedcauses.omega column:
"exact", "right", "left", "interval". Left- and interval-censored
contributions use stats::integrate(); exact and right-censored rows use
vectorised closed-form expressions.loglik(), score(), hess_loglik(), fit(), and rdata() methods
that dispatch through the likelihood.model generics. fit() returns a
fisher_mle object, which realises the mle_fit and algebraic.dist
interfaces, so standard MLE diagnostics (coef, vcov, confint, se,
bias, observed_fim, as_dist, sampler, expectation) all work
uniformly.maskedcauses domain generics
conditional_cause_probability() and cause_probability().maskedcauses to confirm the numerical integration path matches
analytical results to integrator tolerance.maskedhaz (overview): protocol, component, and MLE-result stacks;
quick tour from construction to diagnostics.custom-components: mixed-distribution series with Weibull, exponential,
Gompertz, and log-logistic components.censoring-and-masking: the four observation types with worked examples
and cross-validation against maskedcauses.