# glmnetr 0.6-4 (CRAN)

Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models

[Record of 0.6-4](/cran/glmnetr/v/0.6-4.md) | Compare: [With 0.6-3](/cran/glmnetr/compare/0.6-3...0.6-4.md), [With another package](/compare/glmnetr.md#add), [Downloads](/downloads/compare/glmnetr.md#add) | [Licences](/cran/glmnetr/licences.md) | [SBOM](/cran/glmnetr/sbom.md)

Install from CRAN: `install.packages("glmnetr")`

Also from:

- r2u (Ubuntu binaries): `sudo apt install r-cran-glmnetr` _Listed from recorded download activity on this channel, not from a live index, so read it as last known. Bioconductor packages are named r-bioc-<name> there._
- Fedora COPR (iucar/cran): `sudo dnf install R-CRAN-glmnetr` _A rebuild of what CRAN lists, so it can lag CRAN by a rebuild._
- autoCRAN (openSUSE): `sudo zypper install R-glmnetr` _Listed from recorded download activity on this channel, not from a live index, so read it as last known._

- CRAN checks: All OK (13 platforms)
- CRAN 30-day downloads: 713 (up 3.9% on the 30 days before, the better direction)
- Dependent packages: 0 (none suggest it)
- Test coverage: No tests (nothing to run)
- Advisories: None known

## About

[Method](/about/licenses.md)

Cross validation informed Relaxed LASSO (or more generally elastic net), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive Partitioning ('RPART') or step wise regression models are fit.

**Full description**

Cross validation informed Relaxed LASSO (or more generally elastic net), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. Note, at the time of this writing, in order to fit gradient boosting machine models one must install the packages 'DiceKriging' and 'rgenoud' using the install.packages() function. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling glmnet() and cv.glmnet(). Within the 'glmnetr' package the approach of path=TRUE is taken by default. other packages doing similar include 'nestedcv' <https://cran.r-project.org/package=nestedcv>, 'glmnetSE' <https://cran.r-project.org/package=glmnetSE> which may provide different functionality when performing a nested CV. Use of the 'glmnetr' has many similarities to the 'glmnet' package and it could be helpful for the user of 'glmnetr' also become familiar with the 'glmnet' package <https://cran.r-project.org/package=glmnet>, with the "An Introduction to 'glmnet'" and "The Relaxed Lasso" being especially useful in this regard.

- Maintainer: Walter K Kremers
- Licence: [GPL-3](/licences/GPL-3.md)
- Latest release: 16 Sep 2026
- First release: 14 Dec 2022

- [CRAN page](https://cran.r-project.org/package=glmnetr)
- [Source of every release](https://github.com/cran/glmnetr)

[Compare with another package](/compare/glmnetr.md#add)

**More details**

- Releases: 20
- Needs compilation: No
- Needs R: >= 3.4.0
- Config/roxygen2/version: 8.1.0
- Date: 2026-09-12

**Subjects (1) [Method](/about/subjects.md#found)**

- [Cross-validation and resampling](/topics/subjects/cross-validation-and-resampling.md)

**Cite**

#### Package

Run in R for the authors' preferred citation:

`citation("glmnetr")`

APA: Kremers, W. K., & Larson, N. B. (2026). glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine
Learning Models (Version 0.6-4) [Computer software]. https://doi.org/10.32614/CRAN.package.glmnetr

BibTeX:

```
@Manual{glmnetr,
  title  = {glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine
Learning Models},
  author = {Kremers, Walter K and Larson, Nicholas B},
  year   = {2026},
  note   = {R package version 0.6-4},
  doi    = {10.32614/CRAN.package.glmnetr},
  url    = {https://CRAN.R-project.org/package=glmnetr}
}
```

This package has no citation file, so `citation()` returns this entry built from `DESCRIPTION`.

#### R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA: Balamuta, J. J. (2026). R Observatory: Metrics for glmnetr version 0.6-4 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040

BibTeX:

```
@misc{robservatoryglmnetr,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {glmnetr} version 0.6-4},
  year      = {2026},
  publisher = {HJJB, LLC},
  doi       = {10.5281/zenodo.21843040},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/glmnetr},
  note      = {Data set. Data release v2026-10-28}
}
```

From data release v2026-10-28, which the citation names so these numbers can be found later.

## Health

[Method](/about/checks-health.md)

All 13 check platforms pass.

13 CRAN platforms: 13 OK.

Platforms now:

- r-devel-linux-x86_64-debian-clang: OK
- r-devel-linux-x86_64-debian-gcc: OK
- r-devel-linux-x86_64-fedora-clang: OK
- r-devel-linux-x86_64-fedora-gcc: OK
- r-devel-windows-x86_64: OK
- r-oldrel-macos-arm64: OK
- r-oldrel-macos-x86_64: OK
- r-oldrel-windows-x86_64: OK
- r-patched-linux-x86_64: OK
- r-release-linux-x86_64: OK
- r-release-macos-arm64: OK
- r-release-macos-x86_64: OK
- r-release-windows-x86_64: OK

#### Over time

No change since 5 Aug 2026

**As a list (5)**

| Changed | Worst status | OK | Notes | Warnings | Errors |
| --- | --- | ---: | ---: | ---: | ---: |
| 5 Aug 2026 | OK | 13 | 0 | 0 | 0 |
| 1 Aug 2026 | Note | 12 | 1 | 0 | 0 |
| 9 Jun 2026 | OK | 13 | 0 | 0 | 0 |
| 8 Jun 2026 | Error | 12 | 0 | 0 | 1 |
| 10 Mar 2026 | OK | 14 | 0 | 0 | 0 |

Since March 2026

[Check results on CRAN](https://cran.r-project.org/web/checks/check_results_glmnetr.html)

## Downloads

[Method](/about/downloads.md)

- Downloads in the last 30 days: 730 (up 3.4% on the 30 days before, the better direction. It is the sum of 3 channels: CRAN, r2u and autoCRAN.)

CRAN alone: rank among CRAN packages, last 30 days: 4,448 of 26,530.

| Channel | Downloads in the last 30 days | In the total | Rank in that channel | Change |
| --- | ---: | --- | --- | --- |
| CRAN | 713 | yes | 4,448 of 26,530 | up 3.9% on the 30 days before, the better direction |
| r2u | 12 | yes | 6,028 of 30,526 | up 200% on the 30 days before, the better direction |
| autoCRAN | 5 | yes | 10,893 of 29,212 | down 68.8% on the 30 days before, the worse direction |

Other windows: [Last 90 days](/cran/glmnetr.md?win=90d#downloads), [Last 365 days](/cran/glmnetr.md?win=365d#downloads), [All time](/cran/glmnetr.md?win=all#downloads).

To leave channels out of the total, name them in the address, joined by dots: `?off=r2u.autocran`.

#### Over time

Downloads over time, the last 12 whole months:

| Month | CRAN | r2u | autoCRAN | Sum |
| --- | ---: | ---: | ---: | ---: |
| Oct 2025 | 859 | 3 | no figure | 862 |
| Nov 2025 | 644 | 2 | no figure | 646 |
| Dec 2025 | 825 | 23 | no figure | 848 |
| Jan 2026 | 748 | 4 | no figure | 752 |
| Feb 2026 | 869 | 10 | no figure | 879 |
| Mar 2026 | 903 | 1 | no figure | 904 |
| Apr 2026 | 806 | 23 | no figure | 829 |
| May 2026 | 749 | 10 | no figure | 759 |
| Jun 2026 | 822 | no figure | no figure | 822 |
| Jul 2026 | 441 | 17 | 25 | 483 |
| Aug 2026 | 401 | 5 | 39 | 445 |
| Sep 2026 | 704 | no figure | 10 | 714 |

First day on record: CRAN 14 Dec 2022, r2u 29 Dec 2022, autoCRAN 30 Jun 2026.

Every channel here counts downloads, so the channels can be stacked and summed for one period. Each channel counts in its own way and covers a different span of years, so read a sum as a rough total, and read a rise where a channel begins as that channel starting, not as growth.

Weeks start on Monday. A first or last week or month that the channel does not cover in full is left out, so every point is a whole period.

Days with no record add nothing to their week or month. For a little-used package that is usually a day with no downloads, but it can also be a gap in collection.

[Compare downloads](/downloads/compare/glmnetr.md#add)

## Dependencies

[Method](/about/reverse-dependencies.md)

- Needs: 14
- Dependent packages: 0
- Suggested by: 0

**Needs (14)**

- [aorsf](/cran/aorsf.md)
- [bbotk](/cran/bbotk.md)
- [DiceKriging](/cran/DiceKriging.md)
- [glmnet](/cran/glmnet.md)
- [lgr](/cran/lgr.md)
- [Matrix](/cran/Matrix.md)
- [mlr3mbo](/cran/mlr3mbo.md)
- [paradox](/cran/paradox.md)
- [pROC](/cran/pROC.md)
- [randomForestSRC](/cran/randomForestSRC.md)
- [rpart](/cran/rpart.md)
- [survival](/cran/survival.md)
- [torch](/cran/torch.md)
- [xgboost](/cran/xgboost.md)

- Installing it adds: 110 packages, 89.4 MB of source
- Of those, need compilation: 58

**Optional extras (1)**

- [R.rsp](/cran/R.rsp.md)

## Code

[Method](/about/code-metrics.md)

Selected function: `perf_gen`

- Kind: Internal R function
- File: R/perform_250328.R, line 87
- Lines: 6
- Complexity: 4

Called by 4: [`nested.glmnetr`](/cran/glmnetr.md?fn=nested.glmnetr&view=focus#code), [`cv.glmnetr_perf`](/cran/glmnetr.md?fn=cv.glmnetr_perf&view=focus#code), [`cal_train_xbhat`](/cran/glmnetr.md?fn=cal_train_xbhat&view=focus#code), [`perf_gen_cal_train`](/cran/glmnetr.md?fn=perf_gen_cal_train&view=focus#code)

Calls 3: [`perf_bin`](/cran/glmnetr.md?fn=perf_bin&view=focus#code), [`perf_cox`](/cran/glmnetr.md?fn=perf_cox&view=focus#code), [`perf_gau`](/cran/glmnetr.md?fn=perf_gau&view=focus#code)

Paths: 2 steps each way.

Called by 4:

- [`nested.glmnetr`](/cran/glmnetr.md?fn=nested.glmnetr&view=focus#code)
- [`cv.glmnetr_perf`](/cran/glmnetr.md?fn=cv.glmnetr_perf&view=focus#code), called by 1
  - [`nested.glmnetr`](/cran/glmnetr.md?fn=nested.glmnetr&view=focus#code)
- [`cal_train_xbhat`](/cran/glmnetr.md?fn=cal_train_xbhat&view=focus#code), called by 2
  - [`nested.glmnetr`](/cran/glmnetr.md?fn=nested.glmnetr&view=focus#code)
  - [`cv.glmnetr_perf`](/cran/glmnetr.md?fn=cv.glmnetr_perf&view=focus#code), called by 1
- [`perf_gen_cal_train`](/cran/glmnetr.md?fn=perf_gen_cal_train&view=focus#code)

Calls 3:

- [`perf_bin`](/cran/glmnetr.md?fn=perf_bin&view=focus#code)
- [`perf_cox`](/cran/glmnetr.md?fn=perf_cox&view=focus#code)
- [`perf_gau`](/cran/glmnetr.md?fn=perf_gau&view=focus#code)

The open file in the files map is `R/perform_250328.R`.

- Functions: 11
- Lines: 120
- Calls that stay inside it: 20
- Calls to other files: 4, to 1
- Calls from other files: 9, from 4

It calls: `R/predict_250422.R` (4 calls)

Called from: `R/nested.glmnetr_260912.R` (6 calls), `R/predict_250422.R` (1 call), `R/cv.glmnetr_perf_250525.R` (1 call), `R/ObliqueRandomForest_241202.R` (1 call)

| Function in perform_250328.R | Calls in other files |
| --- | --- |
| [`perf_gen`](/cran/glmnetr.md?fn=perf_gen&view=focus#code) selected | nothing outside this file |
| [`orf_perform`](/cran/glmnetr.md?fn=orf_perform&view=focus#code) | [`orf_xbhat`](/cran/glmnetr.md?fn=orf_xbhat&view=focus#code) |
| [`rf_perform`](/cran/glmnetr.md?fn=rf_perform&view=focus#code) | [`rf_xbhat`](/cran/glmnetr.md?fn=rf_xbhat&view=focus#code) |
| [`rpart_perform`](/cran/glmnetr.md?fn=rpart_perform&view=focus#code) | [`rpart_xbhat`](/cran/glmnetr.md?fn=rpart_xbhat&view=focus#code) |
| [`xgb_perform`](/cran/glmnetr.md?fn=xgb_perform&view=focus#code) | [`xgb_xbhat`](/cran/glmnetr.md?fn=xgb_xbhat&view=focus#code) |

**More functions (6)**

| Function in perform_250328.R | Calls in other files |
| --- | --- |
| [`ann_perform`](/cran/glmnetr.md?fn=ann_perform&view=focus#code) | nothing outside this file |
| [`perf_bin`](/cran/glmnetr.md?fn=perf_bin&view=focus#code) | nothing outside this file |
| [`perf_cox`](/cran/glmnetr.md?fn=perf_cox&view=focus#code) | nothing outside this file |
| [`perf_gau`](/cran/glmnetr.md?fn=perf_gau&view=focus#code) | nothing outside this file |
| [`perf_gen_cal_train`](/cran/glmnetr.md?fn=perf_gen_cal_train&view=focus#code) | nothing outside this file |
| [`rpnz`](/cran/glmnetr.md?fn=rpnz&view=focus#code) | nothing outside this file |


5 files with no calls to or from another: `R/calplot_260902.R`, `R/DiceKriging_260912.R`, `R/nested.cis_260902.R`, `R/predict_ann_tab_250428.R`, `R/rederive_260828.R`.

The whole package has 131 function names in 54 files and 171 calls between them. Most calls between files: `R/nested.glmnetr_260912.R` and `R/tools_241106.R` (8 calls), `R/nested.glmnetr_260912.R` and `R/perform_250328.R` (6 calls), `R/nested.glmnetr_260912.R` and `R/predict_250422.R` (6 calls), `R/perform_250328.R` and `R/predict_250422.R` (5 calls), `R/summary.nested.glmnetr_0_4_4_241104.R` and `R/tools_241106.R` (3 calls).

Graph: the whole call graph has 113 function names that take part in a call and 171 calls between them, set out in 5 layers with callers before what they call. 18 function names have no calls and are left out. Called by the most functions: `devrat_` (15), `get.DevRat` (8), `roundperf` (8), `get.foldid` (7), `perf_bin` (6). Calling the most functions: `nested.glmnetr` (30), `summary.nested.glmnetr` (9), `ann_tab_cv` (5), `nested.compare` (5), `rpart_perform` (5).

Most connected functions: [`nested.glmnetr`](/cran/glmnetr.md?fn=nested.glmnetr&view=focus#code) 30, [`devrat_`](/cran/glmnetr.md?fn=devrat_&view=focus#code) 15, [`get.DevRat`](/cran/glmnetr.md?fn=get.DevRat&view=focus#code) 9, [`summary.nested.glmnetr`](/cran/glmnetr.md?fn=summary.nested.glmnetr&view=focus#code) 9, [`get.foldid`](/cran/glmnetr.md?fn=get.foldid&view=focus#code) 8, [`roundperf`](/cran/glmnetr.md?fn=roundperf&view=focus#code) 8

To select another function, add ?fn=NAME to this address.

The call graph also has an address of its own: /cran/glmnetr/graph.md?fn=perf_gen&view=focus

- Functions: 134
- Public exports: 35
- Lines of R code: 26,710
- Median complexity: 8.5

**Functions (134)**

| Function (sorted, low to high) | Kind | File | Lines | Complexity |
| --- | --- | --- | ---: | ---: |
| [`DK_dev_`](/cran/glmnetr.md?fn=DK_dev_#code) | Public | R/DiceKriging_260912.R | 16 | 1 |
| [`aicreg`](/cran/glmnetr.md?fn=aicreg#code) | Public | R/aicreg_240322.R | 60 | 11 |
| [`ann_tab_cv`](/cran/glmnetr.md?fn=ann_tab_cv#code) | Public | R/ann_tab_cv_250428.R | 817 | 136 |
| [`ann_tab_cv_best`](/cran/glmnetr.md?fn=ann_tab_cv_best#code) | Public | R/ann_tab_cv_250428.R | 79 | 14 |
| [`best.preds`](/cran/glmnetr.md?fn=best.preds#code) | Public | R/stepreg_240422.R | 13 | 2 |
| [`boot.factor.foldid`](/cran/glmnetr.md?fn=boot.factor.foldid#code) | Public | R/tools_241106.R | 36 | 1 |
| [`calceloss`](/cran/glmnetr.md?fn=calceloss#code) | Public | R/ann_tab_cv_250428.R | 24 | 5 |
| [`calplot`](/cran/glmnetr.md?fn=calplot#code) | Public | R/calplot_260902.R | 372 | 81 |
| [`cox.sat.dev`](/cran/glmnetr.md?fn=cox.sat.dev#code) | Public | R/tools_241106.R | 10 | 1 |
| [`cv.glmnetr`](/cran/glmnetr.md?fn=cv.glmnetr#code) | Public | R/cv.glmnetr_250804.R | 89 | 18 |
| [`cv.stepreg`](/cran/glmnetr.md?fn=cv.stepreg#code) | Public | R/cv.stepreg_240322.R | 399 | 38 |
| [`devrat_`](/cran/glmnetr.md?fn=devrat_#code) | Public | R/tools_241106.R | 6 | 1 |

This page lists 1 to 12 of 134 functions. [Next](/cran/glmnetr.md?sort=name&order=asc&fpage=2#functions)

**Size and composition**

#### Lines by kind (31,163)

| Kind | Lines | Share |
| --- | ---: | ---: |
| R code | 26,710 | 86% |
| Documentation | 3,045 | 10% |
| Guides | 1,408 | 5% |

#### Lines by language

| Language | Lines | Share |
| --- | ---: | ---: |
| R | 26,710 | 86% |
| Rd | 3,045 | 10% |
| Vignettes | 1,396 | 5% |
| Other | 12 | 0% |

Languages are counted from file extensions.

- Files: 135
- R functions: 134
- Object systems: S3: 17 methods

**Complexity**

- Median: 8.5
- Mean: 38.38
- Highest: 521
- Median lines per function: 37

_About complexity: Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only._

**Call graph figures**

- R functions: 134
- Calls: 174
- Unconnected: 18
- Groups: 7

**Growth (20 releases)**

Total lines by release: from 5,215 (on 14 Dec 2022) to 31,163 (on 16 Sep 2026). The lowest is 5,215 and the highest is 31,204.

**Release changes**

[Both releases side by side](/cran/glmnetr/compare/0.6-3...0.6-4.md)

**0.6-3 to 0.6-4**, 16 Dec 2025 to 16 Sep 2026

- Files changed: 92
- Lines added: 1,677
- Lines deleted: 1,665
- Exports: 1 added, 0 removed

**Exports added (1)**

- `DK_dev_`

**Changed measures (18)**

| Measure | Subject | Before | After |
| --- | --- | ---: | ---: |
| Public exports | Structure | 34 | 35 |
| Internal functions | Structure | 94 | 96 |
| Total lines | Structure | 31,167 | 31,163 |
| Lines of R code | Structure | 26,720 | 26,710 |
| R functions | Languages | 133 | 134 |
| Lines of documentation | Documentation | 3,042 | 3,045 |
| Help pages with examples (share) | Documentation | 29% | 29% |
| Return value documented | Documentation | 100% | 97% |
| Mean complexity | Complexity | 38.2 | 38.38 |
| Highest complexity | Complexity | 520 | 521 |
| Median complexity | Complexity | 8 | 8.5 |
| Lines per function (mean) | Complexity | 167.02 | 166.07 |
| Functions (nodes) | Call graph | 133 | 134 |
| Call edges | Call graph | 172 | 174 |
| Mean connections | Call graph | 2.59 | 2.6 |
| Functions with no connections | Call graph | 19 | 18 |
| S3 methods | Object system | 30 | 17 |
| Direct dependencies | Dependencies | 11 | 14 |

**Most changed files (12 of 92)**

| File | Lines added | Lines deleted |
| --- | ---: | ---: |
| `R/nested.compare_0_6_4_260912.R` | 772 | 0 |
| `R/plot.cv.glmnetr_0_6_2_250525.R` | 0 | 726 |
| `R/xgbm_tuned_260914.R` | 220 | 174 |
| `NAMESPACE` | 98 | 84 |
| `MD5` | 88 | 87 |
| `R/nested.glmnetr_260912.R` | 56 | 67 |
| `R/nested.cis_260902.R` | 47 | 45 |
| `R/rederive_260828.R` | 14 | 71 |
| `vignettes/An_Overview_of_glmnetr_260912.Rmd` | 43 | 40 |
| `R/predict.glmnetr_0_5_5_250404.R` | 0 | 51 |
| `R/nested.compare_0_6_2_250527.R` | 25 | 21 |
| `R/nested.compare_0_5_2_241224.R` | 25 | 20 |

## Tests

[Method](/about/coverage.md)

The package was built and has no tests to run.

- Lines of tests: 0
- Exports named in tests: 0%

**Test suite**

- Has tests: No
- Test frameworks: No tests in this release
- Test lines per line of code: 0

## Documentation

[Method](/about/code-metrics.md)

- Exports documented: 100%
- Arguments documented: 100%
- Return value documented: 97.1%
- Help pages with examples: 28.8%
- Examples run in checks: 46.7%

**Guides (12)**

- [An Overview of glmnetr](https://cran.r-project.org/web/packages/glmnetr/vignettes/An_Overview_of_glmnetr_260912.pdf)
- [An Overview of glmnetr](https://cran.r-project.org/web/packages/glmnetr/vignettes/An_Overview_of_glmnetr_260912.pdf)
- [Calibration of Machine Learning Models](https://cran.r-project.org/web/packages/glmnetr/vignettes/Calibration_260912.pdf)
- [Calibration of Machine Learning Models](https://cran.r-project.org/web/packages/glmnetr/vignettes/Calibration_260912.pdf)
- [Elastic net models](https://cran.r-project.org/web/packages/glmnetr/vignettes/Elastic_net_models_260912.pdf)
- [Lasso and Ridge Stability](https://cran.r-project.org/web/packages/glmnetr/vignettes/Ridge_and_Lasso_260912.pdf)
- [Ridge and Lasso](https://cran.r-project.org/web/packages/glmnetr/vignettes/Ridge_and_Lasso_260912.pdf)
- [Using ann_tab_cv](https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_ann_tab_cv_260912.pdf)
- [Using ann_tab_cv](https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_ann_tab_cv_260912.pdf)
- [Using stepreg](https://cran.r-project.org/web/packages/glmnetr/vignettes/Elastic_net_models_260912.pdf)
- [Using stepreg](https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_stepreg_260912.pdf)
- [Using stepreg](https://cran.r-project.org/web/packages/glmnetr/vignettes/Using_stepreg_260912.pdf)

**Other documentation**

- README: No
- Release notes file: No
- Help pages: 52
- Lines of documentation: 3,045

## People

[Method](/about/author-identity.md)

- [Walter K Kremers](/people/Walter+K+Kremers.md): Maintainer since 0.1-1 (2022), author. ORCID https://orcid.org/0000-0001-5714-3473
- [Nicholas B Larson](/people/Nicholas+B+Larson.md): Contributor

## Repository

[Method](/about/repo-signals.md#figures)

No repository on record

## History

[Method](/about/archive.md)

The line runs from the first release of glmnetr on 14 Dec 2022 to 28 Oct 2026 and marks all 20 of its releases. CRAN archived it once, and it came back once.

#### Archived and back

| Archived | Back | CRAN's reason | Kind |
| --- | --- | --- | --- |
| 28 May 2023 | 7 Jun 2023 | "issues were not corrected in time" | Checks not fixed |

| Version | Released | R |
| --- | --- | ---: |
| [0.6-4](/cran/glmnetr/v/0.6-4.md) current | 16 Sep 2026 | 4.6.1 |
| [0.6-3](/cran/glmnetr/v/0.6-3.md) | 16 Dec 2025 | 4.5.2 |
| [0.6-2](/cran/glmnetr/v/0.6-2.md) | 19 Aug 2025 | 4.5.1 |
| [0.6-1](/cran/glmnetr/v/0.6-1.md) | 10 May 2025 | 4.5.0 |
| [0.5-5](/cran/glmnetr/v/0.5-5.md) | 17 Jan 2025 | 4.4.2 |
| [0.5-4](/cran/glmnetr/v/0.5-4.md) | 24 Oct 2024 | 4.4.1 |
| [0.5-3](/cran/glmnetr/v/0.5-3.md) | 28 Aug 2024 | 4.4.1 |
| [0.5-2](/cran/glmnetr/v/0.5-2.md) | 12 Jul 2024 | 4.4.1 |

**Earlier versions (12)**

| Version | Released | R | Events |
| --- | --- | ---: | --- |
| [0.5-1](/cran/glmnetr/v/0.5-1.md) | 12 May 2024 | 4.4.0 |  |
| [0.4-6](/cran/glmnetr/v/0.4-6.md) | 21 Apr 2024 | 4.3.3 |  |
| [0.4-5](/cran/glmnetr/v/0.4-5.md) | 20 Apr 2024 | 4.3.3 |  |
| [0.4-4](/cran/glmnetr/v/0.4-4.md) | 23 Mar 2024 | 4.3.3 |  |
| [0.4-3](/cran/glmnetr/v/0.4-3.md) | 4 Mar 2024 | 4.3.3 |  |
| [0.4-2](/cran/glmnetr/v/0.4-2.md) | 9 Feb 2024 | 4.3.2 |  |
| [0.4-1](/cran/glmnetr/v/0.4-1.md) | 9 Jan 2024 | 4.3.2 |  |
| [0.3-1](/cran/glmnetr/v/0.3-1.md) | 10 Aug 2023 | 4.3.1 |  |
| [0.2-1](/cran/glmnetr/v/0.2-1.md) | 7 Jun 2023 | 4.3.0 | Back on CRAN 7 Jun 2023. |
| [0.2-0](/cran/glmnetr/v/0.2-0.md) | 10 May 2023 | 4.3.0 | Archived 28 May 2023. “issues were not corrected in time” |
| [0.1-2](/cran/glmnetr/v/0.1-2.md) | 18 Feb 2023 | 4.2.2 |  |
| [0.1-1](/cran/glmnetr/v/0.1-1.md) | 14 Dec 2022 | 4.2.2 |  |

---

R Observatory is independent of the R Project, CRAN and Bioconductor. The same page for people is at /cran/glmnetr, and every address is listed at /llms.txt.