boostmtree

Boosted Multivariate Trees for Longitudinal Data

Implements Friedman's gradient descent boosting algorithm for longitudinal data using multivariate tree base learners. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.

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Description file content

Package
boostmtree
Version
1.2.1
Date
2018-02-12
Title
Boosted Multivariate Trees for Longitudinal Data
Author
Hemant Ishwaran , Amol Pande
Maintainer
Udaya B. Kogalur
Depends
R (>= 3.1.0)
Imports
randomForestSRC (>= 2.5.0), parallel, splines, nlme
Description
Implements Friedman's gradient descent boosting algorithm for longitudinal data using multivariate tree base learners. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.
License
GPL (>= 3)
URL
NeedsCompilation
no
Packaged
2018-02-12 18:44:41 UTC; kogalur
Repository
CRAN
Date/Publication
2018-02-12 19:15:21 UTC

install.packages('boostmtree')

1.2.1

6 months ago

http://web.ccs.miami.edu/~hishwaran

Udaya B. Kogalur

GPL (>= 3)

Depends on

R (>= 3.1.0)

Imports

randomForestSRC (>= 2.5.0), parallel, splines, nlme

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