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# Changelog
## AMR 3.0.1.9003
#### Changed
- Fixed a bug in
[`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md) for
when no antimicrobials are set
- Added taniborbactam (`TAN`) and cefepime/taniborbactam (`FTA`) to the
`antimicrobials` data set
## AMR 3.0.1
CRAN release: 2025-09-20
This is a bugfix release following the release of v3.0.0 in June 2025.
#### Changed
- Fixed bugs introduced by `ggplot2` v4.0.0
([\#236](https://github.com/msberends/AMR/issues/236))
- MIC scale functions (such as
[`scale_y_mic()`](https://amr-for-r.org/reference/plot.md)) will now
be applied automatically when plotting values of class `mic`
- SIR scale functions (such as
[`scale_x_sir()`](https://amr-for-r.org/reference/plot.md)) will now
be applied automatically when plotting values of class `sir`
- Fixed a bug in
[`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md) for
when no antimicrobials are set
- Fixed a bug in
[`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md) to
allow column names containing the `+` character
([\#222](https://github.com/msberends/AMR/issues/222))
- Fixed a bug in [`as.ab()`](https://amr-for-r.org/reference/as.ab.md)
for antimicrobial codes with a number in it if they are preceded by a
space
- Fixed a bug in
[`eucast_rules()`](https://amr-for-r.org/reference/eucast_rules.md)
for using specific custom rules
- Fixed a bug in [`as.sir()`](https://amr-for-r.org/reference/as.sir.md)
to allow any tidyselect language
([\#220](https://github.com/msberends/AMR/issues/220))
- Fixed a bug in [`as.sir()`](https://amr-for-r.org/reference/as.sir.md)
to pick right breakpoint when `uti = FALSE`
([\#216](https://github.com/msberends/AMR/issues/216))
- Fixed a bug in
[`ggplot_sir()`](https://amr-for-r.org/reference/ggplot_sir.md) when
using `combine_SI = FALSE`
([\#213](https://github.com/msberends/AMR/issues/213))
- Fixed a bug in [`mdro()`](https://amr-for-r.org/reference/mdro.md) to
make sure all genes specified in arguments are acknowledged
- Fixed a bug the `antimicrobials` data set to remove statins
([\#229](https://github.com/msberends/AMR/issues/229))
- Fixed a bug the `microorganisms` data set for MycoBank IDs and
synonyms ([\#233](https://github.com/msberends/AMR/issues/233))
- Fixed ATC J01CR05 to map to piperacillin/tazobactam rather than
piperacillin/sulbactam
([\#230](https://github.com/msberends/AMR/issues/230))
- Fixed skimmers (`skimr` package) of class `ab`, `sir`, and `disk`
([\#234](https://github.com/msberends/AMR/issues/234))
- Fixed all plotting to contain a separate colour for SDD (susceptible
dose-dependent) ([\#223](https://github.com/msberends/AMR/issues/223))
- Fixed some specific Dutch translations for antimicrobials
- Added a warning to
[`as.ab()`](https://amr-for-r.org/reference/as.ab.md) if input
resembles antiviral codes or names
([\#232](https://github.com/msberends/AMR/issues/232))
- Added all reasons in verbose output of
[`mdro()`](https://amr-for-r.org/reference/mdro.md)
([\#227](https://github.com/msberends/AMR/issues/227))
- Added `names` to
[`age_groups()`](https://amr-for-r.org/reference/age_groups.md) so
that custom names can be given
([\#215](https://github.com/msberends/AMR/issues/215))
- Added note to [`as.sir()`](https://amr-for-r.org/reference/as.sir.md)
to make it explicit when higher-level taxonomic breakpoints are used
([\#218](https://github.com/msberends/AMR/issues/218))
- Added antibiotic codes from the Comprehensive Antibiotic Resistance
Database (CARD) to the `antimicrobials` data set
([\#225](https://github.com/msberends/AMR/issues/225))
- Updated Fosfomycin to be of antibiotic class Phosphonics
([\#225](https://github.com/msberends/AMR/issues/225))
- Updated [`random_mic()`](https://amr-for-r.org/reference/random.md)
and [`random_disk()`](https://amr-for-r.org/reference/random.md) to
set skewedness of the distribution and allow multiple microorganisms
## AMR 3.0.0
CRAN release: 2025-06-02
This package now supports not only tools for AMR data analysis in
clinical settings, but also for veterinary and environmental
microbiology. This was made possible through a collaboration with the
[University of Prince Edward Island’s Atlantic Veterinary
College](https://www.upei.ca/avc), Canada. To celebrate this great
improvement of the package, we also updated the package logo to reflect
this change.
#### Breaking
- Dataset `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
years ago.
- Functions
[`resistance_predict()`](https://amr-for-r.org/reference/resistance_predict.md)
and
[`sir_predict()`](https://amr-for-r.org/reference/resistance_predict.md)
are now deprecated and will be removed in a future version. Use the
`tidymodels` framework instead, for which we [wrote a basic
introduction](https://amr-for-r.org/articles/AMR_with_tidymodels.html).
#### New
- **One Health implementation**
- Function [`as.sir()`](https://amr-for-r.org/reference/as.sir.md) now
has extensive support for veterinary breakpoints from CLSI. Use
`breakpoint_type = "animal"` and set the `host` argument to a
variable that contains animal species names.
- The `clinical_breakpoints` data set contains all these breakpoints,
and can be downloaded on our [download
page](https://amr-for-r.org/articles/datasets.html).
- The (new) `antimicrobials` data set contains all veterinary
antimicrobials, such as pradofloxacin and enrofloxacin. All WHOCC
codes for veterinary use have been added as well.
- [`ab_atc()`](https://amr-for-r.org/reference/ab_property.md) now
supports ATC codes of veterinary antimicrobials (that all start with
“Q”)
- [`ab_url()`](https://amr-for-r.org/reference/ab_property.md) now
supports retrieving the WHOCC url of their ATCvet pages
- **Support for WISCA antibiograms**
- The
[`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md)
function now supports creating true Weighted-Incidence Syndromic
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
sparse data. A dedicated
[`wisca()`](https://amr-for-r.org/reference/antibiogram.md) function
is also available for easy usage.
- **More global coverage of languages**
- Added full support for 8 new languages: Arabic, Bengali, Hindi,
Indonesian, Korean, Swahili, Urdu, and Vietnamese. The `AMR` package
is now available in 28 languages.
- **Major update to fungal taxonomy and tools for mycologists**
- MycoBank has now been integrated as the primary taxonomic source for
fungi. The `microorganisms` data set has been enriched with new
columns (`mycobank`, `mycobank_parent`, and `mycobank_renamed_to`)
that provide detailed information for fungal species.
- A remarkable addition of over 20,000 new fungal records
- New function
[`mo_mycobank()`](https://amr-for-r.org/reference/mo_property.md) to
retrieve the MycoBank record number, analogous to existing functions
such as
[`mo_lpsn()`](https://amr-for-r.org/reference/mo_property.md) and
[`mo_gbif()`](https://amr-for-r.org/reference/mo_property.md).
- The [`as.mo()`](https://amr-for-r.org/reference/as.mo.md) function
and all `mo_*()` functions now include an `only_fungi` argument,
allowing users to restrict results solely to fungal species. This
ensures fungi are prioritised over bacteria during microorganism
identification. This can also be set globally with the new
`AMR_only_fungi` option.
- Also updated other kingdoms, welcoming a total of 2,149 new records
from 2023 and 927 from 2024.
- **Updated clinical breakpoints**
- Breakpoint of 2024 and 2025 of both CLSI and EUCAST are now
supported, by adding all of their over 10,000 new clinical
breakpoints to the `clinical_breakpoints` data set for usage in
[`as.sir()`](https://amr-for-r.org/reference/as.sir.md). EUCAST 2025
is now the new default guideline for all MIC and disk diffusion
interpretations.
- Added all Expected Resistant Phenotypes from EUCAST (v1.2). The
default `rules` for
[`eucast_rules()`](https://amr-for-r.org/reference/eucast_rules.md)
are now: `c("breakpoints", "expected_phenotypes")`.
- Updated the `intrinsic_resistant` data set, which is now based on
EUCAST Expected Resistant Phenotypes v1.2
- [`as.sir()`](https://amr-for-r.org/reference/as.sir.md) now brings
additional factor levels: “NI” for non-interpretable and “SDD” for
susceptible dose-dependent. Currently, the `clinical_breakpoints`
data set contains 24 breakpoints that can return the value “SDD”
instead of “I”.
- EUCAST interpretive rules (using
[`eucast_rules()`](https://amr-for-r.org/reference/eucast_rules.md))
are now available for EUCAST 12 (2022), 13 (2023), 14 (2024), and 15
(2025).
- EUCAST dosage tables (`dosage` data set) are now available for
EUCAST 13 (2023), 14 (2024), and 15 (2025).
- **New advanced ggplot2 extensions for MIC and SIR plotting and
transforming**
- New function group `scale_*_mic()`, namely:
[`scale_x_mic()`](https://amr-for-r.org/reference/plot.md),
[`scale_y_mic()`](https://amr-for-r.org/reference/plot.md),
[`scale_colour_mic()`](https://amr-for-r.org/reference/plot.md) and
[`scale_fill_mic()`](https://amr-for-r.org/reference/plot.md). They
allow easy plotting of MIC values. They allow for manual range
definition and plotting missing intermediate log2 levels.
- New function group `scale_*_sir()`, namely:
[`scale_x_sir()`](https://amr-for-r.org/reference/plot.md),
[`scale_colour_sir()`](https://amr-for-r.org/reference/plot.md) and
[`scale_fill_sir()`](https://amr-for-r.org/reference/plot.md). They
allow to plot the `sir` class, and translates into the system
language at default. They also set colourblind-safe colours to the
plots.
- New function
[`rescale_mic()`](https://amr-for-r.org/reference/as.mic.md), which
allows users to rescale MIC values to a manually set range. This is
the powerhouse behind the `scale_*_mic()` functions, but it can be
used independently to, for instance, compare equality in MIC
distributions by rescaling them to the same range first.
- **Support for Python**
- While using R for the heavy lifting, [our ‘AMR’ Python
Package](https://pypi.org/project/AMR/) was developed to run the AMR
R package natively in Python. The Python package will always have
the same version number as the R package, as it is built
automatically with every code change.
- **Support for `tidymodels`**
- All antimicrobial selectors (such as
[`aminoglycosides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
and
[`betalactams()`](https://amr-for-r.org/reference/antimicrobial_selectors.md))
are now supported in `tidymodels` packages such as `recipe` and
`parsnip`. See for more info [our
tutorial](https://amr-for-r.org/articles/AMR_with_tidymodels.html)
on using these AMR functions for predictive modelling.
- **Other**
- New function
[`top_n_microorganisms()`](https://amr-for-r.org/reference/top_n_microorganisms.md)
to filter a data set to the top *n* of any taxonomic property, e.g.,
filter to the top 3 species, filter to any species in the top 5
genera, or filter to the top 3 species in each of the top 5 genera
- New function
[`mo_group_members()`](https://amr-for-r.org/reference/mo_property.md)
to retrieve the member microorganisms of a microorganism group. For
example, `mo_group_members("Strep group C")` returns a vector of all
microorganisms that belong to that group.
- New functions
[`mic_p50()`](https://amr-for-r.org/reference/as.mic.md) and
[`mic_p90()`](https://amr-for-r.org/reference/as.mic.md) to retrieve
the 50th and 90th percentile of MIC values.
#### Changed
- SIR interpretation
- Support for parallel computing to greatly improve speed using the
`parallel` package (part of base R). Use
`as.sir(your_data, parallel = TRUE)` to run SIR interpretation using
multiple cores.
- It is now possible to use column names for arguments `guideline`,
`ab`, `mo`, and `uti`:
`as.sir(..., ab = "column1", mo = "column2", uti = "column3")`. This
greatly improves the flexibility for users.
- Users can now set their own criteria (using regular expressions) as
to what should be considered S, I, R, SDD, and NI.
- To get quantitative values,
[`as.double()`](https://rdrr.io/r/base/double.html) on a `sir`
object will return 1 for S, 2 for SDD/I, and 3 for R (NI will become
`NA`). Other functions using `sir` classes (e.g.,
[`summary()`](https://rdrr.io/r/base/summary.html)) are updated to
reflect the change to contain NI and SDD.
- Following CLSI interpretation rules, values outside the
log2-dilution range will be rounded upwards to the nearest
log2-level before interpretation. Only if using a CLSI guideline.
- Combined MIC values (e.g., from CLSI) are now supported
- The argument `conserve_capped_values` in
[`as.sir()`](https://amr-for-r.org/reference/as.sir.md) has been
replaced with `capped_mic_handling`, which allows greater
flexibility in handling capped MIC values (`<`, `<=`, `>`, `>=`).
The four available options (`"standard"`, `"strict"`, `"relaxed"`,
`"inverse"`) provide full control over whether these values should
be interpreted conservatively or ignored. Using
`conserve_capped_values` is now deprecated and returns a warning.
- Added argument `info` to silence all console messages
- [`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md)
function
- Argument `antibiotics` has been renamed to `antimicrobials`. Using
`antibiotics` will still work, but now returns a warning.
- Added argument `formatting_type` to set any of the 22 options for
the formatting of all ‘cells’. This defaults to `18` for non-WISCA
and `14` for WISCA, changing the output of antibiograms to cells
with more info.
- For this reason, `add_total_n` is now deprecated and `FALSE` at
default since the denominators are added to the cells dependent on
the `formatting_type` setting
- The `ab_transform` argument now defaults to `"name"`, displaying
antibiotic column names instead of codes
- Antimicrobial selectors (previously: *antibiotic selectors*)
- ‘Antibiotic selectors’ are now called ‘antimicrobial selectors’
since their scope is broader than just antibiotics. All
documentation have been updated, and
[`ab_class()`](https://amr-for-r.org/reference/AMR-deprecated.md)
and
[`ab_selector()`](https://amr-for-r.org/reference/AMR-deprecated.md)
have been replaced with
[`amr_class()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
and
[`amr_selector()`](https://amr-for-r.org/reference/antimicrobial_selectors.md).
The old functions are now deprecated and will be removed in a future
version.
- Added selectors
[`isoxazolylpenicillins()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`monobactams()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`nitrofurans()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`phenicols()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`rifamycins()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
and
[`sulfonamides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
- When using antimicrobial selectors that exclude non-treatable drugs
(such as gentamicin-high when using
[`aminoglycosides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)),
the function now always returns a warning that these can be included
using `only_treatable = FALSE`
- Added a new argument `return_all` to all selectors, which defaults
to `TRUE` to include any match. With `FALSE`, the old behaviour,
only the first hit for each unique antimicrobial is returned.
- All selectors can now be run as a separate command to retrieve a
vector of all possible antimicrobials that the selector can select
- The selectors
[`lincosamides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
and
[`macrolides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
do not overlap anymore - each antibiotic is now classified as either
of these and not both
- Fixed selector
[`fluoroquinolones()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
which now really only selects second-generation quinolones and up
(first-generation quinolones do not contain a fluorine group)
- `antimicrobials` data set
- Added agents used for screening, with an ID all ending with `-S`:
benzylpenicillin screening test (`PEN-S`), beta-lactamase screening
test (`BLA-S`), cefotaxime screening test (`CTX-S`), clindamycin
inducible screening test (`CLI-S`), nalidixic acid screening test
(`NAL-S`), norfloxacin screening test (`NOR-S`), oxacillin screening
test (`OXA-S`), pefloxacin screening test (`PEF-S`), and
tetracycline screening test (`TCY-S`). The ID of cefoxitin screening
was renamed from `FOX1` to `FOX-S`, while the old code remains to
work.
- For this reason, the antimicrobial selectors
[`cephalosporins()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`cephalosporins_3rd()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`lincosamides()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`isoxazolylpenicillins()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`quinolones()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
[`fluoroquinolones()`](https://amr-for-r.org/reference/antimicrobial_selectors.md),
and
[`tetracyclines()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
now contain the argument `only_treatable = TRUE` (similar to other
antimicrobial selectors that contain non-treatable drugs)
- Added amorolfine (`AMO`, D01AE16), an antimycotic, which is now also
part of the
[`antifungals()`](https://amr-for-r.org/reference/antimicrobial_selectors.md)
selector
- Added cefepime/enmetazobactam (`FPE`), a 4th gen cephalosporin
- Added tigemonam (`TNM`), a monobactam
- Added bleomycin (`BLM`), a glycopeptide
- Added efflux (`EFF`), to allow mapping to AMRFinderPlus
- Updated all ATC codes, trade names, and DDDs
- MICs
- Added as valid levels: 4096, 6 powers of 0.0625, and 5 powers of 192
(192, 384, 576, 768, 960)
- Fixed a bug in
[`as.mic()`](https://amr-for-r.org/reference/as.mic.md) that failed
translation of scientifically formatted numbers
- Added new argument `keep_operators` to
[`as.mic()`](https://amr-for-r.org/reference/as.mic.md). This can be
`"all"` (default), `"none"`, or `"edges"`. This argument is also
available in the new
[`rescale_mic()`](https://amr-for-r.org/reference/as.mic.md) and
`scale_*_mic()` functions.
- Comparisons of MIC values are now more strict. For example, `>32` is
higher than (and never equal to) `32`. Thus,
`as.mic(">32") == as.mic(32)` now returns `FALSE`, and
`as.mic(">32") > as.mic(32)` now returns `TRUE`.
- Sorting of MIC values (using
[`sort()`](https://rdrr.io/r/base/sort.html)) was fixed in the same
manner; `<0.001` now gets sorted before `0.001`, and `>0.001` gets
sorted after `0.001`.
- Intermediate log2 levels used for MIC plotting are now more common
values instead of following a strict dilution range
- [`is.mic()`](https://amr-for-r.org/reference/as.mic.md) now returns
a vector of `TRUE`/`FALSE` if the input is a `data.frame`, just like
[`as.sir()`](https://amr-for-r.org/reference/as.sir.md)
- [`eucast_rules()`](https://amr-for-r.org/reference/eucast_rules.md)
now has an argument `overwrite` (default: `FALSE`) to indicate whether
non-`NA` values should be overwritten
- Disks of 0 to 5 mm are now allowed, the newly allowed range for disk
diffusion ([`as.disk()`](https://amr-for-r.org/reference/as.disk.md))
is now between 0 and 50 mm
- Updated
[`italicise_taxonomy()`](https://amr-for-r.org/reference/italicise_taxonomy.md)
to support HTML output
- [`custom_eucast_rules()`](https://amr-for-r.org/reference/custom_eucast_rules.md)
now supports multiple antimicrobials and antimicrobial groups to be
affected by a single rule
- [`mo_info()`](https://amr-for-r.org/reference/mo_property.md) now
contains an extra element `rank` and `group_members` (with the
contents of the new
[`mo_group_members()`](https://amr-for-r.org/reference/mo_property.md)
function)
- Updated all ATC codes from WHOCC
- Updated all antimicrobial DDDs from WHOCC
- Fix for using a manual value for `mo_transform` in
[`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md)
- Fixed a bug for when
[`antibiogram()`](https://amr-for-r.org/reference/antibiogram.md)
returns an empty data set
- Argument `only_sir_columns` now defaults to `TRUE` if any column of a
data set contains a class ‘sir’ (functions
[`eucast_rules()`](https://amr-for-r.org/reference/eucast_rules.md),
[`key_antimicrobials()`](https://amr-for-r.org/reference/key_antimicrobials.md),
[`mdro()`](https://amr-for-r.org/reference/mdro.md), etc.)
- Added Sensititre codes for animals, antimicrobials and microorganisms
- Fix for mapping ‘high level’ antimicrobials in
[`as.ab()`](https://amr-for-r.org/reference/as.ab.md) (amphotericin
B-high, gentamicin-high, kanamycin-high, streptomycin-high,
tobramycin-high)
- Improved overall algorithm of
[`as.ab()`](https://amr-for-r.org/reference/as.ab.md) for better
performance and accuracy, including the new function
`as_reset_session()` to remove earlier coercions.
- Improved overall algorithm of
[`as.mo()`](https://amr-for-r.org/reference/as.mo.md) for better
performance and accuracy, specifically:
- More weight is given to genus and species combinations in cases
where the subspecies is miswritten, so that the result will be the
correct genus and species
- Genera from the World Health Organization’s (WHO) Priority Pathogen
List now have the highest prevalence
- Fixed a bug for
[`sir_confidence_interval()`](https://amr-for-r.org/reference/proportion.md)
when there are no isolates available
- Updated the prevalence calculation to include genera from the World
Health Organization’s (WHO) Priority Pathogen List
- Improved algorithm of
[`first_isolate()`](https://amr-for-r.org/reference/first_isolate.md)
when using the phenotype-based method, to prioritise records with the
highest availability of SIR values
- [`scale_y_percent()`](https://amr-for-r.org/reference/plot.md) can now
cope with ranges outside the 0-100% range
- MDRO determination (using
[`mdro()`](https://amr-for-r.org/reference/mdro.md))
- The Verbose Mode (`verbose = TRUE`) now includes the guideline name
- Implemented the new Dutch national MDRO guideline (SRI-richtlijn
BRMO, Nov 2024)
- Added arguments `esbl`, `carbapenemase`, `mecA`, `mecC`, `vanA`,
`vanB` to denote column names or logical values indicating presence
of these genes (or production of their proteins)
- Added upport for antimicrobial selectors to use as as a custom rule
([`custom_mdro_guideline()`](https://amr-for-r.org/reference/custom_mdro_guideline.md))
- Added console colours support of `sir` class for Positron
#### Other
- New website domain: <https://amr-for-r.org>! The old domain will
remain to work.
- Added Dr. Larisse Bolton and Aislinn Cook as contributors for their
fantastic implementation of WISCA in a mathematically solid way
- Added Matthew Saab, Dr. Jordan Stull, and Prof. Javier Sanchez as
contributors for their tremendous input on veterinary breakpoints and
interpretations
- Added Prof. Kathryn Holt, Dr. Jane Hawkey, and Dr. Natacha Couto as
contributors for their many suggestions, ideas and bugfixes
- Greatly improved `vctrs` integration, a Tidyverse package working in
the background for many Tidyverse functions. For users, this means
that functions such as `dplyr`’s
[`bind_rows()`](https://dplyr.tidyverse.org/reference/bind_rows.html),
[`rowwise()`](https://dplyr.tidyverse.org/reference/rowwise.html) and
[`c_across()`](https://dplyr.tidyverse.org/reference/c_across.html)
are now supported for e.g. columns of class `mic`. Despite this, this
`AMR` package is still zero-dependent on any other package, including
`dplyr` and `vctrs`.
- Greatly updated and expanded documentation
- Stopped support for SAS (`.xpt`) files, since their file structure and
extremely inefficient and requires more disk space than GitHub allows
in a single commit.
### Older Versions
This changelog only contains changes from AMR v3.0 (June 2025) and
later.
- For prior v2 versions, please see [our v2
archive](https://github.com/msberends/AMR/blob/v2.1.1/NEWS.md).
- For prior v1 versions, please see [our v1
archive](https://github.com/msberends/AMR/blob/v1.8.2/NEWS.md).