Package: SOIL 1.1

SOIL: Sparsity Oriented Importance Learning

Sparsity Oriented Importance Learning (SOIL) provides a new variable importance measure for high dimensional linear regression and logistic regression from a sparse penalization perspective, by taking into account the variable selection uncertainty via the use of a sensible model weighting. The package is an implementation of Ye, C., Yang, Y., and Yang, Y. (2017+).

Authors:Chenglong Ye <[email protected]>, Yi Yang <[email protected]>, Yuhong Yang <[email protected]>

SOIL_1.1.tar.gz
SOIL_1.1.zip(r-4.5)SOIL_1.1.zip(r-4.4)SOIL_1.1.zip(r-4.3)
SOIL_1.1.tgz(r-4.4-any)SOIL_1.1.tgz(r-4.3-any)
SOIL_1.1.tar.gz(r-4.5-noble)SOIL_1.1.tar.gz(r-4.4-noble)
SOIL_1.1.tgz(r-4.4-emscripten)SOIL_1.1.tgz(r-4.3-emscripten)
SOIL.pdf |SOIL.html✨
SOIL/json (API)

Peer review:

Bug tracker:https://github.com/emeryyi/soil/issues

On CRAN:

1 exports 1 stars 1.06 score 16 dependencies 1 mentions 20 scripts 684 downloads

Last updated 7 years agofrom:9013bb4f3b. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:SOIL

Dependencies:brglm2codetoolsenrichwithforeachglmnetiteratorslatticeMASSMatrixncvregnnetnumDerivRcppRcppEigenshapesurvival