force.non.inc: Non increasing post processinng step for selectboost analysis
In SelectBoost: A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets
force.non.inc R Documentation
Non increasing post processinng step for selectboost analysis
Description
Post processes a selectboost analysis.
Usage
force.non.inc(object)
Arguments
object
Numerical matrix. Result of selectboost (autoboost, fastboost, ...).
Details
force.non.inc returns a vector after ensuring that the proportion of times each variable was
selected is non increasing with respect to the 1-c0 value.
Value
A matrix with the results.
Author(s)
Frederic Bertrand, frederic.bertrand@utt.fr
References
selectBoost: a general algorithm to enhance the performance of variable selection methods in correlated datasets, Frédéric Bertrand, Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand, Bioinformatics, 2020. doi: 10.1093/bioinformatics/btaa855
See Also
fastboost, autoboost
Other Selectboost analyse functions:
plot.selectboost(),
summary.selectboost()
Examples
data(autoboost.res.x)
res.fastboost.force.non.inc <- force.non.inc(autoboost.res.x)
SelectBoost documentation built on Dec. 1, 2022, 1:27 a.m.
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| force.non.inc | R Documentation |
Non increasing post processinng step for selectboost analysis
Description
Post processes a selectboost analysis.
Usage
force.non.inc(object)
Arguments
object |
Numerical matrix. Result of selectboost (autoboost, fastboost, ...). |
Details
force.non.inc returns a vector after ensuring that the proportion of times each variable was
selected is non increasing with respect to the 1-c0 value.
Value
A matrix with the results.
Author(s)
Frederic Bertrand, frederic.bertrand@utt.fr
References
selectBoost: a general algorithm to enhance the performance of variable selection methods in correlated datasets, Frédéric Bertrand, Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand, Bioinformatics, 2020. doi: 10.1093/bioinformatics/btaa855
See Also
fastboost, autoboost
Other Selectboost analyse functions:
plot.selectboost(),
summary.selectboost()
Examples
data(autoboost.res.x) res.fastboost.force.non.inc <- force.non.inc(autoboost.res.x)
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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