fastboost.res.x2.adapt: Fastboost adaptative lasso diabetes second order.
In SelectBoost: A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets
fastboost.res.x2.adapt R Documentation
Fastboost adaptative lasso diabetes second order.
Description
Result of fastboost analysis of diabetes data from lars package with adaptative
lasso and second order model
Usage
fastboost.res.x2.adapt
Format
A numerical matrix frame with 13 rows and 64 variables with attributes.
SelectBoost documentation built on Dec. 1, 2022, 1:27 a.m.
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| fastboost.res.x2.adapt | R Documentation |
Fastboost adaptative lasso diabetes second order.
Description
Result of fastboost analysis of diabetes data from lars package with adaptative lasso and second order model
Usage
fastboost.res.x2.adapt
Format
A numerical matrix frame with 13 rows and 64 variables with attributes.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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