obliqueRSF

Oblique Random Forests for Right-Censored Time-to-Event Data

Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <DOI:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <DOI:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables.

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Description file content

Package
obliqueRSF
Title
Oblique Random Forests for Right-Censored Time-to-Event Data
Version
0.1.1
Description
Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 ). Regularized Cox proportional hazard models (Simon, 2016 ) are used to identify optimal linear combinations of input variables.
Depends
R (>= 3.5.0)
Imports
Rcpp, pec, data.table, stats, missForest, purrr, glmnet, survival, dplyr, rlang, prodlim, ggthemes, tidyr, ggplot2, scales
License
GPL-3
LinkingTo
Rcpp, RcppArmadillo
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
NeedsCompilation
yes
Packaged
2019-03-13 21:09:42 UTC; bcjaeger
Author
Byron Jaeger [aut, cre]
Maintainer
Byron Jaeger
Repository
CRAN
Date/Publication
2019-03-13 21:50:31 UTC

install.packages('obliqueRSF')

0.1.1

9 days ago

Byron Jaeger

GPL-3

Depends on

R (>= 3.5.0)

Imports

Rcpp, pec, data.table, stats, missForest, purrr, glmnet, survival, dplyr, rlang, prodlim, ggthemes, tidyr, ggplot2, scales

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