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# Changelog
## AMR 3.0.1.9004
## AMR 3.0.1.9007
#### New
- Integration with the **tidymodels** framework to allow seamless use of
SIR, MIC and disk data in modelling pipelines via `recipes`
- [`step_mic_log2()`](https://amr-for-r.org/reference/amr-tidymodels.md)
to transform `<mic>` columns with log2, and
[`step_sir_numeric()`](https://amr-for-r.org/reference/amr-tidymodels.md)
to convert `<sir>` columns to numeric
- New `tidyselect` helpers:
[`all_sir()`](https://amr-for-r.org/reference/amr-tidymodels.md),
[`all_sir_predictors()`](https://amr-for-r.org/reference/amr-tidymodels.md),
[`all_mic()`](https://amr-for-r.org/reference/amr-tidymodels.md),
[`all_mic_predictors()`](https://amr-for-r.org/reference/amr-tidymodels.md),
[`all_disk()`](https://amr-for-r.org/reference/amr-tidymodels.md),
[`all_disk_predictors()`](https://amr-for-r.org/reference/amr-tidymodels.md)
- Data set `esbl_isolates` to practise with AMR modelling
#### Changed
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#### Breaking
- Dataset `antibiotics` has been renamed to `antimicrobials` as the data
set contains more than just antibiotics. Using `antibiotics` will
- Data set `antibiotics` has been renamed to `antimicrobials` as the
data set contains more than just antibiotics. Using `antibiotics` will
still work, but now returns a warning.
- Removed all functions and references that used the deprecated `rsi`
class, which were all replaced with their `sir` equivalents over two
@@ -158,7 +175,7 @@ this change.
Combination Antibiograms (WISCA), a powerful Bayesian method for
estimating regimen coverage probabilities using pathogen incidence
and antimicrobial susceptibility data. WISCA offers improved
precision for syndrome-specific treatment, even in datasets with
precision for syndrome-specific treatment, even in data sets with
sparse data. A dedicated
[`wisca()`](https://amr-for-r.org/reference/antibiogram.md) function
is also available for easy usage.