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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.