NEWS
exnexSurv 1.3.1
Breaking changes
compute_waic() and compare_waic() now return se_elpd_waic instead
of se_waic, matching the convention of the loo package.simulate_data() replaces argument n_each with n (scalar or
per-basket vector) and adds argument K (number of baskets).
Bug fixes
simulate_data() now actually uses the n argument; previously n_each
was accepted but ignored in favour of a hard-coded size sequence.survival_curves() now emits a warning when more than one group exists
in the fitted model but newdata is not supplied.rmst() now correctly defaults tmax to max(fit$data$time) instead
of requiring it.probability_superiority() no longer returns a useless level = NULL
element; its newdata handling is now consistent and better documented.
exnexSurv 1.3.0 (2026-09-10)
- New inference and model-selection tools (all in pure R, no changes to the
validated C++ sampler):
survival_curves() computes posterior survival curves S(t) (with
plot.survival_exnex() for plotting);median_survival() returns posterior median survival times;rmst() returns the restricted mean survival time up to a horizon;compute_waic()/compare_waic() provide WAIC model comparison;probability_superiority() estimates the posterior probability that one
group beats another on median, survival probability, or RMST;simulate_data() generates log-normal basket-trial datasets (with
resistant baskets) for studies and examples.
- New vignette Tools for Experimenters covering these utilities.