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sense: Automatic Stacked Ensemble for Regression Tasks

Stacked ensembles for regression tasks using the 'mlr3' framework, internal preprocessing and out-of-fold stacking, and hyperparameter tuning using grid or random search. Supports numeric and categorical predictors.

Version: 1.2.0
Depends: R (≥ 4.1)
Imports: mlr3 (≥ 0.12.0), mlr3learners (≥ 0.5.0), paradox (≥ 1.0.0), mlr3tuning (≥ 0.8.0), bbotk (≥ 0.3.2), data.table (≥ 1.14.0), R6, stats, graphics, utils
Suggests: testthat (≥ 3.0.0), mlr3filters (≥ 0.4.2), knitr, xgboost (≥ 1.4.1.1), rpart (≥ 4.1-15), ranger (≥ 0.13.1), kknn (≥ 1.3.1), glmnet (≥ 4.1-2), e1071 (≥ 1.7-8), FSelectorRcpp (≥ 0.3.8), care (≥ 1.1.10), praznik (≥ 8.0.0), lme4 (≥ 1.1-27.1)
Published: 2026-09-08
DOI: 10.32614/CRAN.package.sense
Author: Giancarlo Vercellino [aut, cre]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino at gmail.com>
License: GPL-3
URL: https://mlr3.mlr-org.com/
NeedsCompilation: no
Materials: NEWS
CRAN checks: sense results

Documentation:

Reference manual: sense.html , sense.pdf
Vignettes: Regression ensembles without mlr3pipelines (source)

Downloads:

Package source: sense_1.2.0.tar.gz
Windows binaries: r-devel: sense_1.2.0.zip, r-release: sense_1.2.0.zip, r-oldrel: sense_1.2.0.zip
macOS binaries: r-release (arm64): sense_1.1.0.tgz, r-oldrel (arm64): sense_1.2.0.tgz, r-release (x86_64): sense_1.2.0.tgz, r-oldrel (x86_64): sense_1.2.0.tgz
Old sources: sense archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.