Changes in version 0.10.0 (2026-05-23)                 

Soft deprecation: exp_series functional API

The exponential-series convenience functions (dexp_series, pexp_series,
qexp_series, rexp_series, hazard_exp_series, surv.exp_series,
mean.exp_series) are now thin wrappers that derive the aggregate
exponential rate from dist.structure::exp_series(), the canonical
constructor for series-of-exponential distributions. The base R
dexp/pexp/qexp/rexp functions are used for the actual computation to
avoid S3 dispatch ambiguity (both packages register methods named like
surv.exp_series and mean.exp_series but on different underlying object
shapes).

The functions remain in maskedcauses for backwards compatibility, but
new code should construct an explicit dist.structure object:

sys <- dist.structure::exp_series(rates)
algebraic.dist::surv(sys)(t)
algebraic.dist::cdf(sys)(t)
algebraic.dist::sampler(sys)(n)
mean(sys)

The dist.structure form composes with the wider dist.structure ecosystem
(importance measures, system signature, structural importance, dual,
compositional operations) that the legacy functional API does not
expose.

Internal changes

  - Adds dist.structure and algebraic.dist to Imports (algebraic.dist
    was previously in Suggests).
  - No public API removals. All existing test cases pass.

                 Changes in version 0.9.2 (2026-03-08)                  

  - Save and restore graphical parameters (par()) in all vignettes, as
    requested by CRAN reviewer.

                        Changes in version 0.9.1                        

  - Fix Unicode characters in roxygen documentation that broke LaTeX PDF
    manual generation on Windows (replaced with \eqn{} markup).
  - Fix unescaped braces in Rd math notation.

                        Changes in version 0.9.0                        

  - Initial CRAN submission.
  - Likelihood models for exponential, homogeneous Weibull, and
    heterogeneous Weibull series systems with masked component cause of
    failure.
  - Composable observation functors for right, left, interval, and mixed
    censoring schemes.
  - Analytical log-likelihood, score, and Hessian for exponential model.
  - Closed-form left/interval censoring for homogeneous Weibull.
  - Numerical integration for heterogeneous Weibull left/interval
    censoring.