explore: Run first step of model fitting to find good penalization...
In rope: Model Selection with FDR Control of Selected Variables
Description
Usage
Arguments
Value
Description
Run first step of model fitting to find good penalization interval
Usage
1
Arguments
data
Matrix of variable presence counts. One column for each variable,
one row for each parameter value (e.g. levels of regularization).
B
Number of bootstraps used to construct data. At least 21 are
needed for u-shape test heuristic to work, but in general it is recommended
to use many more.
mc.cores
Number of threads to run in parallel (1 turns of
parallelization)
Value
A list with components
pop.sep
vector of values saying how separated true and false
variables are for each level of penalization
rope documentation built on May 2, 2019, 12:36 p.m.
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Description Usage Arguments Value
Description
Run first step of model fitting to find good penalization interval
Usage
1 |
Arguments
data |
Matrix of variable presence counts. One column for each variable, one row for each parameter value (e.g. levels of regularization). |
B |
Number of bootstraps used to construct |
mc.cores |
Number of threads to run in parallel (1 turns of parallelization) |
Value
A list with components
pop.sep |
vector of values saying how separated true and false variables are for each level of penalization |
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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