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mlr3fda
View on CRAN: Click
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Download and install mlr3fda package within the R console
Install from CRAN:
install.packages("mlr3fda")
Install from Github:
library("remotes")
install_github("cran/mlr3fda")
Install by package version:
library("remotes")
install_version("mlr3fda", "0.1.1")
Attach the package and use:
library("mlr3fda")
Maintained by
Sebastian Fischer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-04
Latest Update: 2024-04-09
Description:
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'.
How to cite:
Sebastian Fischer (2024). mlr3fda: Extending 'mlr3' to Functional Data Analysis. R package version 0.1.1, https://cran.r-project.org/web/packages/mlr3fda
Previous versions and publish date:
0.1.0 (2024-04-04 19:23)
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