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Add parallel computing support to antibiogram() and wisca() (#281)

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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
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Claude
2026-04-30 10:12:36 +00:00
parent 23beebc6c3
commit 623f6230f9
4 changed files with 253 additions and 70 deletions
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DESCRIPTION
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Package: AMR
Version: 3.0.1.9053
Date: 2026-04-27
Version: 3.0.1.9050
Date: 2026-04-30
Title: Antimicrobial Resistance Data Analysis
Description: Functions to simplify and standardise antimicrobial resistance (AMR)
data analysis and to work with microbial and antimicrobial properties by