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

• 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.