Extending 'mlr3' to Functional Data Analysis
Overview
Extends the 'mlr3' ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the 'tf' package. The package provides 'PipeOps' for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional 'PCA'.
- docs: Various documentation improvements.
- fix:
PipeOps no longer forwardaffect_columnsto their backend functions. - fix:
PipeOpFDAInterpolnow reports whichgrid,left, andrightcombination is invalid instead of failing with an opaque assertion. - fix:
PipeOpFDAInterpolnow errors whenleftandrightfall outside the domain of a functional column.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-23
- ERROR12 OK, 1 ERROR2026-07-15
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 25 (3 internal)includes a package overview page
- Examples that run
- 94%17 run in a plain check (5 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 0%
- Help pages citing references
- 16%
Downloads
Repository
- PRs merged (all time)
- 96%
- Median days to close, 50 most recently updated closed issues
- 64
- Median days to close, 50 most recently updated closed PRs
- 1
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16 development-tooling and community-health practices detected across 7 families in the upstream repository
Checks run against github.com/mlr-org/mlr3fda on 2026-10-18.
The R CMD check workflow runs on Linux, and on R-devel
Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
GitHub Pages site last deployed 2026-10-10 · The repository has a site deploy workflow
pkgdown site last built 2026-08-21
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This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-03-30Named in .Rbuildignore: .claude, CLAUDE.md
- Gemini CLIfirst seen on or before 2026-07-18Config: a file or ignore line, not recorded which
- Codexfirst seen on or before 2026-09-16Commits: at least 1 crediting it in the message
Dependencies
Installing mlr3fda adds 32 packages (16 with compiled code, 20 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, vctrs 1.0 MB.
Code & Tests
Datasets
People & History
Previously maintained by Sebastian Fischer (0.1.0 to 0.3.0).
Pick two releases to compare their code metrics.
- 0.7.2Latest
- 0.7.12026-07-15 · diff ↗
- 0.7.0
- 0.6.0
- 0.5.0
- RR 4.6.0 released · 2026-04-24
- 0.4.0
- 0.3.02025-10-15 · diff ↗ ·
added 5 exports
PipeOpFDABsignal, PipeOpFDARandomEffect, PipeOpFDATsfeatures, PipeOpFDAWavelets, PipeOpFDAZoom - RR 4.5.0 released · 2025-04-11
- 0.2.0
- 0.1.22024-05-30 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.1.12024-04-09 · diff ↗
- 0.1.02024-04-04
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-04-04
- Total releases
- 11 / 2 yrs
- License
- LGPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 805 KB / 3 files
- Download size
- 1.6 MB
Cite
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