R-universe search: topic:function-on-scalar-regression

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Showing 2 of total 2 results (show query)

boost-r

FDboost:Boosting Functional Regression Models

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>.

Maintained by David Ruegamer. Last updated 6 days ago.

boosting boosting-algorithms function-on-function-regression function-on-scalar-regression machine-learning scalar-on-function-regression variable-selection

19 stars 8.43 score 98 scripts

dipterix

spfda:Function-on-Scalar Regression with Group-Bridge Penalty

Implements a group-bridge penalized function-on-scalar regression model proposed by Wang et al. (2020) <arXiv:2006.10163>, to simultaneously estimate functional coefficient and recover the local sparsity.

Maintained by Zhengjia Wang. Last updated 3 years ago.

function-on-scalar-regression regularization-methods sparse

2.70 score