Package: splinetree 0.2.0

splinetree: Longitudinal Regression Trees and Forests

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.

Authors:Anna Neufeld [aut, cre], Brianna Heggeseth [aut, ths]

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splinetree.pdf |splinetree.html✨
splinetree/json (API)
NEWS

# Install 'splinetree' in R:
install.packages('splinetree', repos = c('https://anna-neufeld.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/anna-neufeld/splinetree/issues

Datasets:

    On CRAN:

    5.24 score 4 stars 29 scripts 295 downloads 28 exports 58 dependencies

    Last updated 5 years agofrom:352a5bc29e. Checks:OK: 1 NOTE: 6. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKNov 01 2024
    R-4.5-winNOTENov 01 2024
    R-4.5-linuxNOTENov 01 2024
    R-4.4-winNOTENov 01 2024
    R-4.4-macNOTENov 01 2024
    R-4.3-winNOTENov 01 2024
    R-4.3-macNOTENov 01 2024

    Exports:avSizeflatten_predictorsgetNodeDatanodePlotplotImpplotNodepredict_y_trainingpredictCoeffspredictCoeffsForestpredictYpredictYForestprojectedR2projectedR2ForestpruneForestspaghettiPlotsplineForestsplineTreesplineTreePlotstPlotstPrintterminalNodeSummarytreeSimilaritytreeSizetreeSummaryvarImpCoeffvarImpYyR2yR2Forest

    Dependencies:bitbit64clicliprclustercolorspacecpp11crayondplyrfansifarverforcatsgenericsggformulaggplot2ggridgesgluegtablehavenhmsisobandlabelinglabelledlatticelifecyclemagrittrMASSMatrixmclustmgcvmosaicmosaicCoremosaicDatamunsellnlmepillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerreadrrlangrpartscalesstringistringrtibbletidyrtidyselecttreeClusttzdbutf8vctrsviridisLitevroomwithr

    Introduction to Forest Building with splinetree

    Rendered fromForest-Intro.html.asisusingR.rsp::asison Nov 01 2024.

    Last update: 2018-09-12
    Started: 2018-09-12

    Introduction to splinetree

    Rendered fromLong-Intro.html.asisusingR.rsp::asison Nov 01 2024.

    Last update: 2018-09-12
    Started: 2018-09-12

    Introduction to Tree Building with splinetree

    Rendered fromTree-Intro.html.asisusingR.rsp::asison Nov 01 2024.

    Last update: 2018-09-12
    Started: 2018-09-12

    Readme and manuals

    Help Manual

    Help pageTopics
    Compute the average tree size in a forestavSize
    Retrieve the subset of the data found at a given terminal nodegetNodeData
    Plots the trajectories of each terminal node side by side.nodePlot
    Create a barplot of relative variable importance scores.plotImp
    Plot the predicted trajectory for a single nodeplotNode
    Predict spline coefficients for a testset using a spline treepredictCoeffs
    Predict spline coefficients for a testset using a splineforest.predictCoeffsForest
    Predictions from a spline treepredictY
    Predict responses for a testset using a splineforest.predictYForest
    Computes percent of variation in projected response explained by a splinetree.projectedR2
    Computes a level-based or shape-based evaluation metric for a splineforest.projectedR2Forest
    Prune each tree in forest using a given complexity parameter.pruneForest
    Create a faceted spaghetti plot of a splinetree modelspaghettiPlot
    Build a spline random forest.splineForest
    Build a splinetree model.splineTree
    Creates a tree plot of a spline tree.splineTreePlot
    Plots a splinetree.stPlot
    Print a spline tree in the style of print.rpartstPrint
    Prints a summary of a terminal node in a treeterminalNodeSummary
    Returns a measure of how similar the two trees are.treeSimilarity
    Returns number of terminal nodes in a tree.treeSize
    Returns the tree frame.treeSummary
    Random Forest Variable Importance based on spline coefficientsvarImpCoeff
    Random Forest Variable Importance based on YvarImpY
    Computes percent of variation in response explained by spline tree.yR2
    Computes a level-based evaluation metric for a splineforest that was built WITH an intercept.yR2Forest