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sprintr

The sprintr package contains implementation of a computationally efficient method to fit large-scale interaction models based on a reluctant interaction selection principle. The details of the method can be found in Yu, Bien, and Tibshirani (2019) Reluctant Interaction Modeling.

To install sprintr from github, type in R console

devtools::install_github("hugogogo/sprintr", build_vignettes = TRUE)

Note that the installation above requires using R package devtools (which can be installed using install.packages("devtools")).

Please check the accompanying vignette on how to use the sprintr package. To read vignette, after installing the package, type in R console

browseVignettes("sprintr")

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Version

Install

install.packages('sprintr')

Monthly Downloads

40

Version

0.9.0

License

GPL-3

Maintainer

Guo Yu

Last Published

August 24th, 2019

Functions in sprintr (0.9.0)

screen_cpp

Sure Independence Screening in Step 2
cv.sprinter

Running sprinter with cross-validation
sprinter

Sparse Reluctant Interaction Modeling
predict.cv.sprinter

Calculate prediction from a cv.sprinter object.