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Summary method for interval search models

Source: R/summary_inter_search.R
summary.intsearch.Rd

Produces a summary of a fitted interval search model

Usage

# S3 method for class 'intsearch'
summary(
  object,
  digits = max(3, getOption("digits") - 3),
  verbose = TRUE,
  first.n = 5,
  ...
)

Arguments

object

an object of class intsearch as returned by the function EPSGO.

digits

digits after the comma

verbose

default set to TRUE.

first.n

show first.n entries , default 5.

...

additional argument(s)

Value

A list of following elements

info

a data frame of four objects for optimal models

  • alpha - a vector of alphas

  • lambda - a vector of penalization parameter lambda

  • deviances - a vector of deviances

  • n.features -a vector of number of features selected in each optimal model

opt.alpha

an optimal value for alpha

opt.lambda

an optimal value for lambda

opt.error

an optimal value for error, hier minimal diviance

opt.models

a list of optimal models with the same optimal error

References

Sill M., Hielscher T., Becker N. and Zucknick M. (2014), c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models, Journal of Statistical Software, Volume 62(5), pages 1–22. https://doi.org/10.18637/jss.v062.i05.

See also

EPSGO,plot.sum.intsearch

Author

Natalia Becker \ natalia.becker@dkfz.de