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splinetree
View on CRAN: Click
here
Download and install splinetree package within the R console
Install from CRAN:
install.packages("splinetree")
Install from Github:
library("remotes")
install_github("cran/splinetree") Install by package version:
library("remotes")
install_version("splinetree", "0.2.0") Attach the package and use:
library("splinetree")
Maintained by
Anna Neufeld
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-25
Latest Update: 2019-07-18
Description:
Builds regression trees and random forests for longitudinal or functional data using a spline projection method. Implements and extends the work of Yu and Lambert (1999) <doi:10.1080/10618600.1999.10474847>. This method allows trees and forests to be built while considering either level and shape or only shape of response trajectories.
How to cite:
Anna Neufeld (2018). splinetree: Longitudinal Regression Trees and Forests. R package version 0.2.0, https://cran.r-project.org/web/packages/splinetree. Accessed 06 Mar. 2026.
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imports, suggests or enhances
Complete documentation for splinetree
Functions, R codes and Examples using
the splinetree R package
Some associated functions: avSize . flatten_predictors . forest . getBasisMat . getNodeData . importance . individual_spline . nlsySample . nodePlot . plotImp . plotNode . predictCoeffs . predictCoeffsForest . predictY . predictYForest . predict_y_training . projectedR2 . projectedR2Forest . pruneForest . rpartco . spaghettiPlot . splineForest . splineTree . splineTreePlot . spline_eval . spline_init . spline_split . splineforest_split . stPlot . stPrint . terminalNodeSummary . tree.depth . tree . treeSimilarity . treeSize . treeSummary . varImpCoeff . varImpY . yR2 . yR2Forest .
Some associated R codes: custom_rpart_fns.R . custom_split_forest.R . data.R . forest_evaluation.R . forest_helpers.R . forest_prediction.R . forest_variable_importance.R . other_useful_fns.R . plotting.R . plotting_helper_fns.R . splineForest.R . splineTree.R . tree_evaluation.R . tree_print.R . variable_importance_plotting.R . Full splinetree package functions and examples
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