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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).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.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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.