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htree
View on CRAN: Click
here
Download and install htree package within the R console
Install from CRAN:
install.packages("htree")
Install from Github:
library("remotes")
install_github("cran/htree")
Install by package version:
library("remotes")
install_version("htree", "2.0.0")
Attach the package and use:
library("htree")
Maintained by
Joe Sexton
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-26
Latest Update: 2023-03-31
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.
How to cite:
Joe Sexton (2017). htree: Historical Tree Ensembles for Longitudinal Data. R package version 2.0.0, https://cran.r-project.org/web/packages/htree
Previous versions and publish date:
Other packages that cited htree R package
View htree citation profile
Other R packages that htree depends,
imports, suggests or enhances
Functions, R codes and Examples using
the htree R package
Some associated functions: cd4 . hrf . htb . misc . mscm . partdep_hrf . predict_hrf . varimp_hrf .
Some associated R codes: basic.R . hrf.R . htb.R . zzz.R . Full htree package functions and examples
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