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| author | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2021-01-09 22:35:09 +0000 |
|---|---|---|
| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2021-01-09 22:35:09 +0000 |
| commit | 1bf157a816bd50b11befbddb6fe91955725dc736 (patch) | |
| tree | afbdd6ccae8d8db040d22afa7f82909a9a130972 | |
| parent | Update readme with mini-tutorial (diff) | |
| download | sparsestep-1bf157a816bd50b11befbddb6fe91955725dc736.tar.gz sparsestep-1bf157a816bd50b11befbddb6fe91955725dc736.zip | |
fix arXiv
| -rw-r--r-- | DESCRIPTION | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/DESCRIPTION b/DESCRIPTION index 3fa1ed2..1c1ee7c 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -9,7 +9,7 @@ Authors@R: c(person("Gertjan", "van den Burg", role=c("aut", "cre"), Description: Implements the SparseStep model for solving regression problems with a sparsity constraint on the parameters. The SparseStep regression model was proposed in Van den Burg, Groenen, and Alfons (2017) - <arxiv:1701.06967>. In the model, a regularization term is added to the + <arXiv:1701.06967>. In the model, a regularization term is added to the regression problem which approximates the counting norm of the parameters. By iteratively improving the approximation a sparse solution to the regression problem can be obtained. In this package both the standard |