Changes in version 0.1.0 (2026-04-21)                  

Initial CRAN release.

Features

  - 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.
  - Full support for four observation types via the 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.
  - Methods for the maskedcauses domain generics
    conditional_cause_probability() and cause_probability().
  - Cross-validated against the closed-form exponential-series
    likelihood from maskedcauses to confirm the numerical integration
    path matches analytical results to integrator tolerance.

Vignettes

  - 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.