filter.predictors: Filtering of predictors
In nestfs: Cross-Validated (Nested) Forward Selection
filter.predictors R Documentation
Filtering of predictors
Description
Filter the predictors, retaining only the top n.
Usage
filter.predictors(x, y, n, ignore = NULL)
Arguments
x
Design matrix.
y
Outcome variable.
n
Number of variables to retain.
ignore
Names of variables that should be ignored by the filter.
Details
This performs a univariate test of association of each predictor (not listed
in ignore) with the outcome, and retains the top n variables
with smallest p-value according to a Kolmogorov-Smirnov test.
Value
An array of indices of variables that are retained by the filter.
nestfs documentation built on Dec. 28, 2022, 1:27 a.m.
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| filter.predictors | R Documentation |
Filtering of predictors
Description
Filter the predictors, retaining only the top n.
Usage
filter.predictors(x, y, n, ignore = NULL)
Arguments
x |
Design matrix. |
y |
Outcome variable. |
n |
Number of variables to retain. |
ignore |
Names of variables that should be ignored by the filter. |
Details
This performs a univariate test of association of each predictor (not listed
in ignore) with the outcome, and retains the top n variables
with smallest p-value according to a Kolmogorov-Smirnov test.
Value
An array of indices of variables that are retained by the filter.
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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