kern_varselect: Kernel function to perform surrogate clustering, regularized...
In jminnier/emrselect: Automated EMR feature selection.
Description
Usage
Arguments
Value
Description
Kernel function to perform surrogate clustering,
regularized regression estimation, and
perturbation resampling
Usage
1
2
kern_varselect(dat.S, dat.X, b0, sub.boot = NULL,
sub.sample.type = "perturb", mclust.modelNames = NULL)
Arguments
sub.boot
numeric, if nonnull bootstrap a subsample of rows
mclust.modelNames
see ?mclustModelNames in the mclust package
Value
list
jminnier/emrselect documentation built on May 19, 2019, 1:53 p.m.
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Description Usage Arguments Value
Description
Kernel function to perform surrogate clustering, regularized regression estimation, and perturbation resampling
Usage
1 2 | kern_varselect(dat.S, dat.X, b0, sub.boot = NULL,
sub.sample.type = "perturb", mclust.modelNames = NULL)
|
Arguments
sub.boot |
numeric, if nonnull bootstrap a subsample of rows |
mclust.modelNames |
see ?mclustModelNames in the mclust package |
Value
list
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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