A data set with 294 079 rows and 2 columns, containing the following
-column names: mo and ab.
+
A data set with 294 079 rows and 3 columns, containing the following
+column names: mo, ab, and version.
This data set is in R available as intrinsic_resistant,
after you load the AMR package.
-
It was last updated on 22 June 2026 23:38:13 UTC. Find more info
+
It was last updated on 3 September 2026 10:14:25 UTC. Find more info
about the contents, (scientific) source, and structure of this data set
here.
Direct download links:
diff --git a/articles/datasets.md b/articles/datasets.md
index 7bbd0d132..720a9fa72 100644
--- a/articles/datasets.md
+++ b/articles/datasets.md
@@ -249,15 +249,15 @@ here](https://amr-for-r.org/reference/microorganisms.groups.html).
## `intrinsic_resistant`: Intrinsic Bacterial Resistance
-A data set with 294 079 rows and 2 columns, containing the following
+A data set with 294 079 rows and 3 columns, containing the following
column names:
-*mo* and *ab*.
+*mo*, *ab*, and *version*.
This data set is in R available as `intrinsic_resistant`, after you load
the `AMR` package.
-It was last updated on 22 June 2026 23:38:13 UTC. Find more info about
-the contents, (scientific) source, and structure of this [data set
+It was last updated on 3 September 2026 10:14:25 UTC. Find more info
+about the contents, (scientific) source, and structure of this [data set
here](https://amr-for-r.org/reference/intrinsic_resistant.html).
**Direct download links:**
diff --git a/articles/index.html b/articles/index.html
index 48563510a..8ec5e0b8c 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -7,7 +7,7 @@
AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
diff --git a/authors.html b/authors.html
index caf5263a1..8ce12a337 100644
--- a/authors.html
+++ b/authors.html
@@ -7,7 +7,7 @@
AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
diff --git a/index.html b/index.html
index fca2c4615..64b67bc22 100644
--- a/index.html
+++ b/index.html
@@ -33,7 +33,7 @@
AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
@@ -113,7 +113,7 @@
The AMR package is a peer-reviewed, free and open-source R package with zero dependencies to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods.
Our aim has always been to provide a standard for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting. We are a team of many different researchers from around the globe to make this a successful and durable project! The AMR package was already cited over 100 times in scientific research.
-
After installing this package, R knows ~97 000 distinct microbial species (updated mei 2026) and all ~620 antimicrobial and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
+
After installing this package, R knows ~97 000 distinct microbial species (updated May 2026) and all ~620 antimicrobial and antiviral drugs by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). It was designed to work in any setting, including those with very limited resources. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the University of Groningen and the University Medical Center Groningen.
Used in over 175 countries, available in 28 languages
@@ -146,13 +146,11 @@
#> ℹ Using column mo as input for `mo_fullname()`#> ℹ Using column mo as input for `mo_is_gram_negative()`#> ℹ Using column mo as input for `mo_is_intrinsic_resistant()`
-#> ℹ Determining intrinsic resistance based on 'EUCAST Expected
-#> Resistant Phenotypes' v1.2 (2023). This note will be shown
-#> once per session.
-#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
-#> (tobramycin), AMK (amikacin), and KAN (kanamycin)
-#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
-#> (meropenem)
+#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023).
+#> This note will be shown once per session.
+#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN
+#> (kanamycin)
+#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)#> # A tibble: 35 × 7#> bacteria GEN TOB AMK KAN IPM MEM #> <chr> <sir> <sir> <sir> <sir> <sir> <sir>
@@ -181,9 +179,9 @@
#> Warning: invalid microorganism code, NA generated
-
-
-
+
+
+
Piperacillin/tazobactam
@@ -191,9 +189,9 @@
Piperacillin/tazobactam + Tobramycin
-
70% (64.8-75.1%)
+
70.2% (64.6-75.4%)
93.6% (92.1-95%)
-
89.9% (86.9-92.3%)
+
89.9% (87-92.5%)
WISCA supports stratification by any clinical variable, so you can generate syndrome-specific or ward-specific coverage estimates:
@@ -242,15 +240,14 @@
antibiogram(example_isolates, mo_transform ="gramstain", antimicrobials =c("AMC", carbapenems(), "TZP"))
-#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
-#> (meropenem)
+#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
@@ -408,16 +405,15 @@
# calculate AMR using resistance(), over all aminoglycosides and polymyxins:summarise(across(c(aminoglycosides(), polymyxins()),resistance))
-#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
-#> (tobramycin), AMK (amikacin), and KAN (kanamycin)
+#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN
+#> (kanamycin)#> ℹ For `polymyxins()` using column COL (colistin)#> Warning: There was 1 warning in `summarise()`.
-#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()),
-#> resistance)`.
+#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.#> ℹ In group 3: `ward = "Outpatient"`.#> Caused by warning:
-#> ! Introducing NA: only 23 results available for KAN in group:
-#> ward = "Outpatient" (whilst `minimum = 30`).
+#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (whilst `minimum =
+#> 30`).out#> # A tibble: 3 × 6#> ward GEN TOB AMK KAN COL
diff --git a/index.md b/index.md
index b0e7499fb..1549acfe8 100644
--- a/index.md
+++ b/index.md
@@ -50,7 +50,7 @@ in scientific research.
After installing this package, R knows [**~97 000 distinct microbial
species**](https://amr-for-r.org/reference/microorganisms.md) (updated
-mei 2026) and all [**~620 antimicrobial and antiviral
+May 2026) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.md) by name and
code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED
CT), and knows all about valid SIR and MIC values. The integral clinical
@@ -116,13 +116,11 @@ example_isolates %>%
#> ℹ Using column mo as input for `mo_fullname()`
#> ℹ Using column mo as input for `mo_is_gram_negative()`
#> ℹ Using column mo as input for `mo_is_intrinsic_resistant()`
-#> ℹ Determining intrinsic resistance based on 'EUCAST Expected
-#> Resistant Phenotypes' v1.2 (2023). This note will be shown
-#> once per session.
-#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
-#> (tobramycin), AMK (amikacin), and KAN (kanamycin)
-#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
-#> (meropenem)
+#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023).
+#> This note will be shown once per session.
+#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN
+#> (kanamycin)
+#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
#> # A tibble: 35 × 7
#> bacteria GEN TOB AMK KAN IPM MEM
#>
@@ -181,7 +179,7 @@ wisca(example_isolates,
| Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---|
-| 70% (64.8-75.1%) | 93.6% (92.1-95%) | 89.9% (86.9-92.3%) |
+| 70.2% (64.6-75.4%) | 93.6% (92.1-95%) | 89.9% (87-92.5%) |
WISCA supports stratification by any clinical variable, so you can
generate syndrome-specific or ward-specific coverage estimates:
@@ -197,9 +195,9 @@ wisca(example_isolates,
| Syndromic Group | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---|:---|
-| Clinical | 74.7% (69-80.3%) | 93.6% (92-95.2%) | 90.4% (86.8-93.1%) |
-| ICU | 56.9% (48.7-66%) | 86.8% (83.6-90%) | 82.8% (78.3-87.3%) |
-| Outpatient | 57.2% (46-68.2%) | 76.5% (70.3-82.2%) | 67.7% (57.3-77.2%) |
+| Clinical | 74.7% (68.9-80.8%) | 93.7% (92.1-95.2%) | 90.5% (87-93.2%) |
+| ICU | 57% (48.2-65.7%) | 86.8% (83.4-89.8%) | 83% (78-87.6%) |
+| Outpatient | 57.2% (46.2-68.9%) | 76.6% (70.1-82.1%) | 67.7% (57.6-77.5%) |
**For AMR surveillance**, traditional antibiograms remain the right tool
for tracking resistance per species over time:
@@ -209,8 +207,7 @@ for tracking resistance per species over time:
antibiogram(example_isolates,
mo_transform = "gramstain",
antimicrobials = c("AMC", carbapenems(), "TZP"))
-#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
-#> (meropenem)
+#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
```
| Pathogen | Amoxicillin/clavulanic acid | Imipenem | Meropenem | Piperacillin/tazobactam |
@@ -331,16 +328,15 @@ out <- example_isolates %>%
# calculate AMR using resistance(), over all aminoglycosides and polymyxins:
summarise(across(c(aminoglycosides(), polymyxins()),
resistance))
-#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
-#> (tobramycin), AMK (amikacin), and KAN (kanamycin)
+#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN
+#> (kanamycin)
#> ℹ For `polymyxins()` using column COL (colistin)
#> Warning: There was 1 warning in `summarise()`.
-#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()),
-#> resistance)`.
+#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.
#> ℹ In group 3: `ward = "Outpatient"`.
#> Caused by warning:
-#> ! Introducing NA: only 23 results available for KAN in group:
-#> ward = "Outpatient" (whilst `minimum = 30`).
+#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (whilst `minimum =
+#> 30`).
out
#> # A tibble: 3 × 6
#> ward GEN TOB AMK KAN COL
diff --git a/llms.txt b/llms.txt
index 237b48fd5..175ed5dae 100644
--- a/llms.txt
+++ b/llms.txt
@@ -50,7 +50,7 @@ in scientific research.
After installing this package, R knows [**~97 000 distinct microbial
species**](https://amr-for-r.org/reference/microorganisms.md) (updated
-mei 2026) and all [**~620 antimicrobial and antiviral
+May 2026) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.md) by name and
code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED
CT), and knows all about valid SIR and MIC values. The integral clinical
@@ -116,13 +116,11 @@ example_isolates %>%
#> ℹ Using column mo as input for `mo_fullname()`
#> ℹ Using column mo as input for `mo_is_gram_negative()`
#> ℹ Using column mo as input for `mo_is_intrinsic_resistant()`
-#> ℹ Determining intrinsic resistance based on 'EUCAST Expected
-#> Resistant Phenotypes' v1.2 (2023). This note will be shown
-#> once per session.
-#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
-#> (tobramycin), AMK (amikacin), and KAN (kanamycin)
-#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
-#> (meropenem)
+#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023).
+#> This note will be shown once per session.
+#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN
+#> (kanamycin)
+#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
#> # A tibble: 35 × 7
#> bacteria GEN TOB AMK KAN IPM MEM
#>
@@ -181,7 +179,7 @@ wisca(example_isolates,
| Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---|
-| 70% (64.8-75.1%) | 93.6% (92.1-95%) | 89.9% (86.9-92.3%) |
+| 70.2% (64.6-75.4%) | 93.6% (92.1-95%) | 89.9% (87-92.5%) |
WISCA supports stratification by any clinical variable, so you can
generate syndrome-specific or ward-specific coverage estimates:
@@ -197,9 +195,9 @@ wisca(example_isolates,
| Syndromic Group | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
|:---|:---|:---|:---|
-| Clinical | 74.7% (69-80.3%) | 93.6% (92-95.2%) | 90.4% (86.8-93.1%) |
-| ICU | 56.9% (48.7-66%) | 86.8% (83.6-90%) | 82.8% (78.3-87.3%) |
-| Outpatient | 57.2% (46-68.2%) | 76.5% (70.3-82.2%) | 67.7% (57.3-77.2%) |
+| Clinical | 74.7% (68.9-80.8%) | 93.7% (92.1-95.2%) | 90.5% (87-93.2%) |
+| ICU | 57% (48.2-65.7%) | 86.8% (83.4-89.8%) | 83% (78-87.6%) |
+| Outpatient | 57.2% (46.2-68.9%) | 76.6% (70.1-82.1%) | 67.7% (57.6-77.5%) |
**For AMR surveillance**, traditional antibiograms remain the right tool
for tracking resistance per species over time:
@@ -209,8 +207,7 @@ for tracking resistance per species over time:
antibiogram(example_isolates,
mo_transform = "gramstain",
antimicrobials = c("AMC", carbapenems(), "TZP"))
-#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM
-#> (meropenem)
+#> ℹ For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
```
| Pathogen | Amoxicillin/clavulanic acid | Imipenem | Meropenem | Piperacillin/tazobactam |
@@ -331,16 +328,15 @@ out <- example_isolates %>%
# calculate AMR using resistance(), over all aminoglycosides and polymyxins:
summarise(across(c(aminoglycosides(), polymyxins()),
resistance))
-#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB
-#> (tobramycin), AMK (amikacin), and KAN (kanamycin)
+#> ℹ For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK (amikacin), and KAN
+#> (kanamycin)
#> ℹ For `polymyxins()` using column COL (colistin)
#> Warning: There was 1 warning in `summarise()`.
-#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()),
-#> resistance)`.
+#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.
#> ℹ In group 3: `ward = "Outpatient"`.
#> Caused by warning:
-#> ! Introducing NA: only 23 results available for KAN in group:
-#> ward = "Outpatient" (whilst `minimum = 30`).
+#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (whilst `minimum =
+#> 30`).
out
#> # A tibble: 3 × 6
#> ward GEN TOB AMK KAN COL
diff --git a/news/index.html b/news/index.html
index 9f8da9093..da15c8e34 100644
--- a/news/index.html
+++ b/news/index.html
@@ -7,7 +7,7 @@
AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
@@ -49,10 +49,10 @@
-
AMR 3.0.1.9087
+
AMR 3.0.1.9088
Planned as v3.1.0, end of September 2026.
-
Breaking Changes
+
Breaking Changes
The former kingdoms Bacteria and Archaea are now each divided into four kingdoms with new top-level domains ‘Bacteria’ and ‘Archaea’ (Göker and Oren, 2024, DOI: 10.1099/ijsem.0.006242). Following this, a new domain column in the microorganisms data set was added, and more importantly, mo_kingdom() now returns the formal kingdom (e.g. "Pseudomonadati" instead of "Bacteria"). Use mo_domain() for the old behaviour. For non-prokaryotic kingdoms (Fungi, Protozoa, etc.), kingdom and domain are identical.
@@ -105,7 +105,7 @@
Faster parallel computing via the future package for as.sir() and wisca(): a non-sequential plan (e.g. future::plan(future::multisession)) must be active before using parallel = TRUE.
-
New
+
New
EUCAST 2026 and CLSI 2026 breakpoints: over 5,700 new breakpoints added to the clinical_breakpoints data set; EUCAST 2026 is now the default for all MIC and disk diffusion interpretations
Wildtype/Non-wildtype (WT/NWT) output when using ECOFF-based interpretation, by setting breakpoint_type = "ECOFF" in as.sir(); WT/NWT results are fully supported in all resistance/susceptibility functions and plots (#254)
@@ -122,7 +122,7 @@
New wisca_plot() to assess the susceptibility and incidence distributions from the Monte Carlo simulations
top_n_microorganisms(): new property_for_each argument for sub-grouping within top n groups; rank ordering enforced (only lower taxonomic ranks allowed); fixed property = NULL not being accepted; inner filter now tracks original row indices to prevent cross-group contamination
Taxonomic update for all microorganisms, now updated to June 2026
diff --git a/news/index.md b/news/index.md
index f4a79fa4b..03b79eabb 100644
--- a/news/index.md
+++ b/news/index.md
@@ -1,6 +1,6 @@
# Changelog
-## AMR 3.0.1.9087
+## AMR 3.0.1.9088
Planned as v3.1.0, end of September 2026.
diff --git a/pkgdown.yml b/pkgdown.yml
index 5756fdb90..a3b6d26e0 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -10,7 +10,7 @@ articles:
PCA: PCA.html
WHONET: WHONET.html
WISCA: WISCA.html
-last_built: 2026-08-20T12:32Z
+last_built: 2026-09-03T12:29Z
urls:
reference: https://amr-for-r.org/reference
article: https://amr-for-r.org/articles
diff --git a/reference/AMR-deprecated.html b/reference/AMR-deprecated.html
index 7bae552bb..848a12735 100644
--- a/reference/AMR-deprecated.html
+++ b/reference/AMR-deprecated.html
@@ -7,7 +7,7 @@
AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
diff --git a/reference/AMR-options.html b/reference/AMR-options.html
index 3cb1cbef3..f1e10be81 100644
--- a/reference/AMR-options.html
+++ b/reference/AMR-options.html
@@ -9,7 +9,7 @@ options(AMR_guideline = "CLSI")'>AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
diff --git a/reference/AMR.html b/reference/AMR.html
index ad1b1394d..82888f9f7 100644
--- a/reference/AMR.html
+++ b/reference/AMR.html
@@ -21,7 +21,7 @@ The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish
AMR (for R)
- 3.0.1.9087
+ 3.0.1.9088
@@ -112,7 +112,8 @@ The AMR package is available in English, Arabic, Bengali, Chinese, Czech, Danish