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r-fdboost

Anaconda Verified

Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.

Installation

To install this package, run one of the following:

Conda
$conda install r::r-fdboost

Usage Tracking

1.1_2
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Downloads (Last 6 months): 0

About

Summary

Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.

Last Updated

Jan 16, 2024 at 21:56

License

GPL-2

Total Downloads

37

Supported Platforms

noarch