auto.analyze: Find limits for selectboost analysis

In SelectBoost: A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

Find limits for selectboost analysis

Description

Find limits for selectboost analysis.

Usage

auto.analyze(x, ...)

## S3 method for class 'selectboost'
auto.analyze(x, ...)

Arguments

x	Numerical matrix. Selectboost object.
...	. Passed to the summary.selectboost function.

Details

plot.summary.selectboost returns an invisible list and creates four graphics. Two plots the proportion of selection with respect to c0 (by step or according to real scale). On the third graph, no bar means a proportion of selection less than prop.level. Confidence intervals are computed at the conf.int.level level. Barplot of the confidence index (1-min(c0, such that proportion|c0>conf.threshold)).

Value

list of 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 and autoboost

Other Selectboost analyze functions: plot.summary.selectboost(), trajC0()

Examples

data(autoboost.res.x)
auto.analyze(autoboost.res.x)

data(autoboost.res.x2)
auto.analyze(autoboost.res.x2)

SelectBoost documentation built on Dec. 1, 2022, 1:27 a.m.