mlr3fda
Extending 'mlr3' to Functional Data Analysis
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'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.0 |
rolling linux/jammy R-4.5 | mlr3fda_0.4.0.tar.gz |
2.1 MiB |
0.4.0 |
rolling linux/noble R-4.5 | mlr3fda_0.4.0.tar.gz |
2.1 MiB |
0.4.0 |
rolling source/ R- | mlr3fda_0.4.0.tar.gz |
1.6 MiB |
0.4.0 |
latest linux/jammy R-4.5 | mlr3fda_0.4.0.tar.gz |
2.1 MiB |
0.4.0 |
latest linux/noble R-4.5 | mlr3fda_0.4.0.tar.gz |
2.1 MiB |
0.4.0 |
latest source/ R- | mlr3fda_0.4.0.tar.gz |
1.6 MiB |
0.4.0 |
2026-04-26 source/ R- | mlr3fda_0.4.0.tar.gz |
1.6 MiB |
0.4.0 |
2026-04-23 source/ R- | mlr3fda_0.4.0.tar.gz |
1.6 MiB |
0.4.0 |
2026-04-09 windows/windows R-4.5 | mlr3fda_0.4.0.zip |
2.1 MiB |
0.2.0 |
2025-04-20 source/ R- | mlr3fda_0.2.0.tar.gz |
1.6 MiB |