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.

Total

8,285

Last month

393

Last week

92

Average per day

13

Daily downloads

Total downloads

Description file content

Package
boostmtree
Version
1.3.0
Date
2018-08-13
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
2018-08-13 18:03:43 UTC; kogalur
Repository
CRAN
Date/Publication
2018-08-13 18:20:02 UTC

install.packages('boostmtree')

1.3.0

2 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

Discussions