htree

Historical Tree Ensembles for Longitudinal Data

Historical regression trees are an extension of standard trees, producing a non-parametric estimate of how the response depends on all of its prior realizations as well as that of any time-varying predictor variables. The method applies equally to regularly as well as irregularly sampled data. The package implements random forest and boosting ensembles based on historical regression trees, suitable for longitudinal data. Standard error estimation and Z-score variable importance is also implemented.

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Package
htree
Version
2.0.0
Date
2018-06-23
Depends
R (>= 2.9.0), parallel
Title
Historical Tree Ensembles for Longitudinal Data
Author
Joe Sexton
Description
Historical regression trees are an extension of standard trees, producing a non-parametric estimate of how the response depends on all of its prior realizations as well as that of any time-varying predictor variables. The method applies equally to regularly as well as irregularly sampled data. The package implements random forest and boosting ensembles based on historical regression trees, suitable for longitudinal data. Standard error estimation and Z-score variable importance is also implemented.
Maintainer
Joe Sexton
License
GPL (>= 2)
Repository
CRAN
NeedsCompilation
yes
Packaged
2018-07-13 14:16:12 UTC; joe
Date/Publication
2018-07-13 15:00:03 UTC

install.packages('htree')

2.0.0

5 days ago

Joe Sexton

GPL (>= 2)

Depends on

R (>= 2.9.0), parallel

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