summary.selectboost {SelectBoost}

Summarize a selectboost analysis

Description

Summarize a selectboost analysis.

Usage

## 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,
  ...
)

Arguments

object

Numerical matrix. Result of selectboost (autoboost, fastboost, ...).

crit.func

Function . Defaults to the mean function.

crit.int

Character value. Mean or median based confidence intervals. Defaults to "mean" based confidence intervals.

custom.values.lim

Vector of numeric values. Defults to NULL.

index.lim

Vector of numeric values. Defults to NULL.

alpha.conf.level

Numeric value. Defults to 0.99.

force.dec

Boolean. Force trajectories to be non-increasing.

...

Additionnal arguments. Passed to the crit.func function.

Details

summary.selectboost returns a list with the results.

Value

A list with the results.

Author(s)

Frederic Bertrand, [e-mail]

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: force.non.inc(), plot.selectboost()

Examples

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)