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r / packages / r-fdboost 1.1_2

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>.

Installers

  • noarch v1.1_2

conda install

To install this package run one of the following:
conda install r::r-fdboost

Description


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