rags2ridges: print.optPenaltyFusedGrid – R documentation

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print.optPenaltyFusedGrid

Print and plot functions for fused grid-based cross-validation

Description

Print and plot functions for the output from optPenalty.fused.grid which performs a grid based cross-validation (CV) search to find optimal penalty parameters. Currently, only the complete penalty graph is supported.

Usage

## S3 method for class 'optPenaltyFusedGrid'
print(x, ...)

## S3 method for class 'optPenaltyFusedGrid'
plot(
  x,
  add.text = TRUE,
  add.contour = TRUE,
  col = rainbow(100, end = 0.8),
  ...
)

Arguments

`x`	A `optPenaltyFusedGrid`-object print or plot. Usually the output of `optPenalty.fused.grid`.
`...`	Arguments passed on. In `print.optPenaltyFusedGrid` the arguments are passed to `print.matrix`. In `plot.optPenaltyFusedGrid` are passed to the standard `plot` function.
`add.text`	A `logical` value controlling if the text should be added to the plot.
`add.contour`	A `logical` value controlling if the contour lines should be added to the plot.
`col`	A `character` vector of colours used in the image plot.

Value

Invisibly returns the object (x).

Author(s)

Anders Ellern Bilgrau, Carel F.W. Peeters <cf.peeters@vumc.nl>, Wessel N. van Wieringen

References

Bilgrau, A.E., Peeters, C.F.W., Eriksen, P.S., Boegsted, M., and van Wieringen, W.N. (2020). Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes. Journal of Machine Learning Research, 21(26): 1-52.