R Observatory: Metrics for sense version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sense

1.1.0

Automatic Stacked Ensemble for Regression Tasks

0packages depend

2.6Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Giancarlo VercellinoFirst published 2021-09-062 releasesCRAN page ↗

Stacked ensemble for regression tasks based on 'mlr3' framework with a pipeline for preprocessing numeric and factor features and hyper-parameter tuning using grid or random search.

Install

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

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

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

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-sense

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-sense

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-sense

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 2.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

16

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.6K

CRAN downloads in the past year

Rank #19,184 · ~7/day · ~219/mo

Releases R versions

Daily download trend is not available in this view yet.

13230 days

57290 days

2.6K1 year

Compare downloads with other packages →

Also on100 r2u11 autocran

Dependencies

Declared dependencies

27 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (16)

mlr3 mlr3learners mlr3filters (>= 0.4.2)mlr3pipelines mlr3viz paradox mlr3tuning bbotk tictoc (>= 1.0.1)forcats readr lubridate (>= 1.7.10)purrr Metrics data.table (>= 1.14.0)visNetwork

LinkingTo (0)

none

Suggests (12)

xgboostrpartranger kknn glmnet e1071 mlr3misc FSelectorRcpp care praznik lme4 nloptr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)

Giancarlo Vercellino

no longer listed · 1.0.0 to 1.1.0

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.0Latest
2024-06-19 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.0.0
2021-09-06
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-09-06
Total releases: 2 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1
Bundled data: 9.0 KB / 1 file
Download size: 17 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sense")

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 sense version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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