R Observatory: Metrics for brulee version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

brulee

1.2.0

High-Level Modeling Functions with 'torch'

0packages dependsuggested by 3

13.1Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Max KuhnCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: Posit Software, PBC

Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.

Changes in 1.2.0

predict() for regression brulee_tab_icl() models gained two new type values. "quantile" returns a .pred_quantile column (a hardhat::quantile_pred() vector) at the levels given by the new predict-time quantile_levels argument, which defaults to (1:9) / 10. "variance" returns the variance of the predictive distribution in a .pred_variance column. The TabICL regression head was already a quantile regression head internally, so this exposes a distribution the model was always computing; type = "numeric" is unchanged and remains the default. Unlike brulee_chronos(), the levels are not fixed when the model is created and any value in the open interval (0, 1) can be requested. See ?predict.brulee_tab_icl for how ensemble members are pooled for each type.
Added augment() methods for all brulee model fits.
For regression models, .pred and .resid are added. For the latter, it is computed when the outcome is present in the data. See the exceptions below for foundational models.
For classification, the hard class predictions and class probability estimates are added.
For brulee_chronos() models, the forecast columns are aligned to the rows of new_data rather than to the internal per-series prediction order.
For brulee_tab_icl() regression models, quantile regression estimates and the prediction variance can be obtained by setting the quantile_levels argument to a non-null value. .resid is then measured against the median of the predictive distribution.
The error thrown when predict() is given an unsupported type is now attributed to predict() rather than to brulee's internal helper.
predict() now clamps an epoch larger than the number of epochs actually fit, which is what its documentation and its warning have always promised. Previously it warned and then failed with a subscript out of bounds error, and an epoch exactly equal to length(fit$estimates) failed with no warning at all. Because early stopping makes the number of epochs fit vary by platform, a fixed epoch could work on one machine and fail on another. coef() was already correct and now shares the same check (#138).

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("brulee", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("tidymodels/brulee")

Development version from tidymodels/brulee. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-brulee

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-brulee

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-brulee

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 197 wordsVignettesNoNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsiteYes · pkgdown

Help pages: 31 (2 internal)includes a package overview page
Examples that run: 19%5 run in a plain check (5 of them under a condition) · 20 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples: 87%
Documented parameters: 94%
Return-value docs: 93%
Help pages citing references: 23%

How these are measured

Downloads

13.1K

CRAN downloads in the past year

Rank #3,753 · ~36/day · ~1.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

1K30 days

2.5K90 days

13.1K1 year

Compare downloads with other packages →

Also on1.3K r2u24 autocran

How downloads are counted

Repository

tidymodels/brulee ↗Organization: tidymodels

75Stars

10Forks

9Open issues

0Open PRs

11Releases

223Commits

13Commit identities

223 commits · Last activity 2026-10-08 · 0% stars, 30d · Default branch at 1.2.0.9000, ahead of CRAN 1.2.0 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 94%
Median days to close, 50 most recently updated closed issues: 14
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-09-19 · 702026-08-17 · 75

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/tidymodels/brulee on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Code of conduct

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-08 · The repository has a site deploy workflow

pkgdown site last built 2026-09-02

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 1 practice

Lint, format, editor (4)

Lint workflowAirVS CodeRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-04-20
Seen in the repository: .claude
Named in .Rbuildignore: .claude
Pull request it wrote: opened by a project member
Commits: at least 5 crediting it in the message

Models named in its commits

Claude Sonnet 4.54 commits · Apr 2026
Claude Opus 51 commit · Sep 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing brulee adds 41 packages (22 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, torch 1.9 MB, Rcpp 1.8 MB.

Depends (1)

R >= 4.1

Imports (17)

cli coro curl dplyr generics ggplot2 hardhat jsonlite purrr rlang safetensorsstatstibble tidyselect torchutilswithr

LinkingTo (0)

none

Suggests (7)

covr lubridate modeldata recipes spelling testthat yardstick

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 3

Suggests, most downloaded first

tidyAML MLwrap tabby

How these are counted

Code & Tests

People & History

People (3)

Max Kuhn

Author, Maintainer since 0.0.1 (2021)

Daniel Falbel

Author

Posit Software, PBC

Copyright holder, Funder · added in 0.3.0

Listed in earlier versions (1)

RStudio

no longer listed · 0.0.1 to 0.2.0

Releases (11)

Pick two releases to compare their code metrics.

1.2.0Latest
record
2026-09-02 · current release · diff ↗ ·
added 1 export
augment
1.1.1
record
2026-07-13 · diff ↗
1.1.0
record
2026-06-17 · diff ↗ ·
added 3 exports
brulee_tab_icl, tab_icl_download_weights, tab_icl_weights_available
1.0.0
record
2026-06-17 · diff ↗ ·
added 5 exports
brulee_auto_int, brulee_chronos, brulee_resnet, brulee_rln, brulee_saint
R
R 4.6.0 released · 2026-04-24
0.6.0
record
2025-09-02 · diff ↗ ·
removed 1 export
%>%
R
R 4.5.0 released · 2025-04-11
unarchivedReturned to CRAN
2025-04-07
0.5.0
record
2025-04-07 · diff ↗
archivedRemoved from CRAN
2025-04-02
issues were not corrected in time
0.4.0
record
2025-01-30 · diff ↗ ·
added 1 export
brulee_mlp_two_layer
R
R 4.4.0 released · 2024-04-24
0.3.0
record
2024-02-14 · diff ↗ ·
added 1 export
brulee_activations
R
R 4.3.0 released · 2023-04-21
0.2.0
record
2022-09-20 · diff ↗ ·
added 5 exports
schedule_cyclic, schedule_decay_expo, schedule_decay_time, schedule_step, set_learn_rate
R
R 4.2.0 released · 2022-04-22

Show 3 earlier eventsHide 3 earlier events

0.1.0
record
2022-02-02 · diff ↗
0.0.1
record
2021-12-15
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-15
Total releases: 11 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1
Download size: 2.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("brulee")

Format

Kuhn, M., Posit Software, PBC, & Falbel, D. (2026). brulee: High-Level Modeling Functions with 'torch' (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.brulee

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

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for brulee version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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