dfr_exponential(), dfr_weibull(),
dfr_gompertz(), dfr_loglogistic() with
analytical hazard, cumulative hazard, score, and Hessian functions where
available.residuals() (Cox-Snell and
Martingale), plot() (survival, hazard, cumulative hazard),
qqplot_residuals().density() method (alias for pdf).assumptions() method for listing model
assumptions.kaplan_meier() internal utility for empirical
survival estimation.score_fn and hess_fn, or the
package falls back to numDeriv.Initial release.
dfr_dist() constructor for creating distributions from
hazard functionshazard(),
cum_haz(), surv(), cdf(),
pdf(), inv_cdf(), sampler()loglik(),
score(), hess_loglik(),
fit()Supports modeling complex hazard patterns:
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