summary.selectboost | R Documentation |
Summarize a selectboost analysis.
## S3 method for class 'selectboost' summary( object, crit.func = mean, crit.int = "mean", custom.values.lim = NULL, index.lim = NULL, alpha.conf.level = 0.99, force.dec = TRUE, ... )
object |
Numerical matrix. Result of selectboost (autoboost, fastboost, ...). |
crit.func |
Function . Defaults to the |
crit.int |
Character value. Mean or median based confidence intervals. Defaults to |
custom.values.lim |
Vector of numeric values. Defults to |
index.lim |
Vector of numeric values. Defults to |
alpha.conf.level |
Numeric value. Defults to |
force.dec |
Boolean. Force trajectories to be non-increasing. |
... |
Additionnal arguments. Passed to the |
summary.selectboost
returns a list with the results.
A list with the results.
Frederic Bertrand, frederic.bertrand@utt.fr
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
fastboost
, autoboost
Other Selectboost analyse functions:
force.non.inc()
,
plot.selectboost()
data(autoboost.res.x) summary(autoboost.res.x) summary(autoboost.res.x, force.dec=FALSE) data(autoboost.res.x.adapt) summary(autoboost.res.x.adapt) data(autoboost.res.x2) summary(autoboost.res.x2) summary(autoboost.res.x2, force.dec=FALSE) data(autoboost.res.x2.adapt) summary(autoboost.res.x2.adapt) data(fastboost.res.x) summary(fastboost.res.x) summary(fastboost.res.x, force.dec=FALSE) data(fastboost.res.x.adapt) summary(fastboost.res.x.adapt) data(fastboost.res.x2) summary(fastboost.res.x2) summary(fastboost.res.x2, force.dec=FALSE) data(fastboost.res.x2.adapt) summary(fastboost.res.x2.adapt)
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