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(v1.7.1) New CRAN release

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dr. M.S. (Matthijs) Berends
2021-06-03 15:19:21 +02:00
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NEWS.md
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# `AMR` 1.7.0.9002
## <small>Last updated: 1 June 2021</small>
### New
* Support for CLSI 2020 guideline for interpreting MICs and disk diffusion values (using `as.rsi()`)
### Changed
* `bug_drug_combinations()` now supports grouping using the `dplyr` package
* As requested by CRAN administrators: decreased package size by 3 MB in costs of a ~50 times slower loading time of the package (i.e., `library(AMR)`)
# `AMR` 1.7.0
# `AMR` 1.7.1
### Breaking change
* All antibiotic class selectors (such as `carbapenems()`, `aminoglycosides()`) can now be used for filtering as well, making all their accompanying `filter_*()` functions redundant (such as `filter_carbapenems()`, `filter_aminoglycosides()`). These functions are now deprecated and will be removed in a next release.
* Support for CLSI 2020 guideline for interpreting MICs and disk diffusion values (using `as.rsi()`)
* All antibiotic class selectors (such as `carbapenems()`, `aminoglycosides()`) can now be used for filtering as well, making all their accompanying `filter_*()` functions redundant (such as `filter_carbapenems()`, `filter_aminoglycosides()`). These functions are now deprecated and will be removed in a next release. Examples of how the selectors can be used for filtering:
```r
# select columns with results for carbapenems
example_isolates[, carbapenems()] # base R
@@ -45,6 +35,7 @@
### Changed
* `bug_drug_combinations()` now supports grouping using the `dplyr` package
* Custom MDRO guidelines (`mdro()`, `custom_mdro_guideline()`):
* Custom MDRO guidelines can now be combined with other custom MDRO guidelines using `c()`
* Fix for applying the rules; in previous versions, rows were interpreted according to the last matched rule. Now, rows are interpreted according to the first matched rule
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* `age()` now vectorises over both `x` and `reference`
### Other
* As requested by CRAN administrators: decreased package size by 3 MB in costs of a slower loading time of the package
* All unit tests are now processed by the `tinytest` package, instead of the `testthat` package. The `testthat` package unfortunately requires tons of dependencies that are also heavy and only usable for recent R versions, disallowing developers to test a package under any R 3.* version. On the contrary, the `tinytest` package is very lightweight and dependency-free.