* Add parallel computing support to antibiogram() and wisca() (#281)
For WISCA: simulations are distributed across (group, chunk) job pairs
via future.apply::future_lapply(), keeping all workers active even when
the regimen count is smaller than nbrOfWorkers(). Sequential fallback
with progress ticker is preserved when parallel = FALSE or workers = 1.
For grouped antibiograms: each group is processed by a separate worker,
mirroring the row-batch approach in as.sir().
Same gate pattern as as.sir() (PR #280): requires a non-sequential
future::plan() to be active; auto-upgrades to parallel = TRUE when a
parallel plan is detected; throws an informative error otherwise.
https://claude.ai/code/session_01FC43syPbzhGmKgrrVNHjnF
* Fix version to 3.0.1.9055 and update CLAUDE.md version formula
Uses origin/${defaultbranch} (with a fetch) instead of the local
branch ref so the commit count is never stale after a merge.
https://claude.ai/code/session_01FC43syPbzhGmKgrrVNHjnF
* Fix non-ASCII characters in antibiogram.R
Replace en/em dashes and non-breaking spaces with ASCII equivalents
to satisfy R CMD check portability requirement.
https://claude.ai/code/session_01FC43syPbzhGmKgrrVNHjnF
* Update auto-generated Rd files after documentation rebuild
https://claude.ai/code/session_01FC43syPbzhGmKgrrVNHjnF
* Move parallel gate to top of antibiogram.default() like sir.R
The gate was inside the wisca==TRUE block, so parallel=TRUE with a
sequential plan was silently ignored for non-WISCA antibiograms.
Now the gate runs unconditionally at the top of the function,
identical to the as.sir() pattern: error on explicit parallel=TRUE
with sequential plan, auto-upgrade when a non-sequential plan is
already active.
https://claude.ai/code/session_01FC43syPbzhGmKgrrVNHjnF
* Fix parallel WISCA returning all NA; strengthen tests; add sequential hint
Bug: lapply() over a factor yields length-1 factor elements (integer
codes), while for() over a factor yields character strings. The job
list stored j\$group as a factor integer, but the reassembly loop
compared it with identical(j\$group, g) where g was character -- always
FALSE, so no simulation chunks were ever assembled and coverage stayed
NA throughout.
Fix: convert unique_groups to character before building jobs so both
the job list and the reassembly loop use the same type.
Tests: replaced na.rm = TRUE guards with explicit anyNA() checks so the
test suite would have caught the all-NA result immediately.
Also adds a sequential-mode performance hint (analogous to sir.R
lines 1116-1127) when simulations >= 500 and >= 3 regimens.
https://claude.ai/code/session_01FC43syPbzhGmKgrrVNHjnF
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Co-authored-by: Claude <noreply@anthropic.com>
