Repositories list

• mboost

  Public
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

  machine-learningvariable-selectiongam+ 8modellingr-languageglmr-packagecrantutorialsmboost+ 1

  HTML

  •27•72•30•2•Updated Nov 5, 2024Nov 5, 2024

• FDboost

  Public
  Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

  machine-learningvariable-selectionboosting-algorithms+ 5boostingfunction-on-function-regressionscalar-on-function-regressionfunction-on-scalar-regressioncran

  R

  •5•16•4•0•Updated May 1, 2024May 1, 2024

• gamboostLSS

  Public
  Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

  machine-learningvariable-selectionr-language+ 5r-packageboosting-algorithmsgamlsscrangamboostlss

  R

  •11•26•8•1•Updated Oct 17, 2023Oct 17, 2023

• betaboost

  Public
  R wrapper to boost beta regression via mboost and gamboostLSS. The current release version can be found on CRAN (http://CRAN.R-project.org/package=betaboost).

  R

  •2•4•2•0•Updated Sep 5, 2018Sep 5, 2018

• datamicroarray

  Public
  A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

  R

  •42•0•0•0•Updated May 9, 2017May 9, 2017