vimp

Nonparametric Variable Importance

Calculate point estimates of and valid confidence intervals for nonparametric variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (2017) <https://biostats.bepress.com/uwbiostat/paper422/>.

Total

793

Last month

378

Last week

123

Average per day

13

Daily downloads

Total downloads

Description file content

Package
vimp
Type
Package
Title
Nonparametric Variable Importance
Version
1.1.4
Author
Brian D. Williamson [aut, cre], Noah Simon [aut], Marco Carone [aut]
Maintainer
Brian D. Williamson
Description
Calculate point estimates of and valid confidence intervals for nonparametric variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (2017) .
License
MIT + file LICENSE
Depends
R (>= 3.1.0)
Imports
SuperLearner, stats, graphics
LazyData
TRUE
RoxygenNote
6.1.0
Suggests
knitr, rmarkdown, MASS, gam, glmnet, xgboost, covr, testthat
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-10-14 15:24:26 UTC; brian
Repository
CRAN
Date/Publication
2018-10-14 15:40:03 UTC

install.packages('vimp')

1.1.4

7 days ago

Brian D. Williamson

MIT + file LICENSE

Depends on

R (>= 3.1.0)

Imports

SuperLearner, stats, graphics

Suggests

knitr, rmarkdown, MASS, gam, glmnet, xgboost, covr, testthat

Discussions