bamp() and stored in the returned object
(model$effects), so a separate call to
effects.apc() is no longer needed for the default median
summary.effects.apc(): cache check was looking for
x$effect (singular) instead of x$effects
(plural), and referenced an undefined variable in the cache
condition.cohort="rw2+het" was not recognized correctly).period_covariate handling that silently
prevented vector coercion.checkConvergence(): cohort convergence check used
age hyperparameter instead of cohort hyperparameter.checkConvergence() info
output.GetRNGstate/PutRNGstate pairing in
random number generation.mclapply with socket-based
makeCluster/parLapply for reliable parallel
execution on all platforms, including macOS GUI environments (RStudio).
Falls back to sequential if cluster setup fails.bibentry().
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