lassoscore: High-Dimensional Inference with the Penalized Score Test
Use the lasso regression method to perform approximate inference
in high dimensions, by penalizing the effects of nuisance parameters.
Version: |
0.6 |
Depends: |
R (≥ 2.10), glasso, glmnet, Matrix |
Suggests: |
covTest, lars |
Published: |
2014-10-28 |
Author: |
Arie Voorman |
Maintainer: |
Arie Voorman <arie.voorman at gmail.com> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
CRAN checks: |
lassoscore results |
Documentation:
Downloads:
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