plot.cv_plmm: Plot method for cv_plmm class

In plmmr: Penalized Linear Mixed Models for Correlated Data

Plot method for cv_plmm class

Description

Plot method for cv_plmm class

Usage

## S3 method for class 'cv_plmm'
plot(
  x,
  log.l = TRUE,
  type = c("cve", "rsq", "scale", "snr", "all"),
  selected = TRUE,
  vertical.line = TRUE,
  col = "red",
  ...
)

Arguments

x	An object of class cv_plmm
log.l	Logical to indicate the plot should be returned on the natural log scale. Defaults to log.l = FALSE.
type	Type of plot to return. Defaults to "cve."
selected	Logical to indicate which variables should be plotted. Defaults to TRUE.
vertical.line	Logical to indicate whether vertical line should be plotted at the minimum/maximum value. Defaults to TRUE.
col	Color for vertical line, if plotted. Defaults to "red."
...	Additional arguments.

Value

Nothing is returned; instead, a plot is drawn representing the relationship between the tuning parameter 'lambda' value (x-axis) and the cross validation error (y-axis).

Examples

admix_design <- create_design(X = admix$X, y = admix$y)
cvfit <- cv_plmm(design = admix_design)
plot(cvfit)

plmmr documentation built on April 4, 2025, 12:19 a.m.