Package: srlars
Type: Package
Title: Split Robust Least Angle Regression
Version: 1.0.1
Date: 2023-07-16
Authors@R: c(person("Anthony", "Christidis", role=c("aut", "cre"), email = "anthony.christidis@stat.ubc.ca"),
             person("Gabriela", "Cohen-Freue", role=c("aut"), email = "gcohen@stat.ubc.ca"))
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to perform split robust least angle regression. The approach first uses the
             least angle regression algorithm to split the variables into the models of an ensemble
             and robust estimates of the correlation between predictors. An elastic net estimator is 
             then applied to the selected predictors in each model using the imputed data from the
             detect deviating cell (DDC) method.
License: GPL (>= 2)
Encoding: UTF-8
Biarch: true
Imports: cellWise, glmnet
Suggests: testthat, mvnfast
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-07-16 23:47:23 UTC; antho
Author: Anthony Christidis [aut, cre],
  Gabriela Cohen-Freue [aut]
Repository: CRAN
Date/Publication: 2023-07-17 00:00:02 UTC
Built: R 4.4.0; ; 2024-04-30 11:12:13 UTC; unix
