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.