plot.plmm: Plot method for plmm class

In plmmr: Penalized Linear Mixed Models for Correlated Data

Plot method for plmm class

Description

Plot method for plmm class

Usage

## S3 method for class 'plmm'
plot(x, alpha = 1, log.l = FALSE, shade = TRUE, col, ...)

Arguments

x	An object of class plmm
alpha	Tuning parameter for the Mnet estimator which controls the relative contributions from the MCP/SCAD penalty and the ridge, or L2 penalty. alpha=1 is equivalent to MCP/SCAD penalty, while alpha=0 would be equivalent to ridge regression. However, alpha=0 is not supported; alpha may be arbitrarily small, but not exactly 0.
log.l	Logical to indicate the plot should be returned on the natural log scale. Defaults to log.l = FALSE.
shade	Logical to indicate whether a local nonconvex region should be shaded. Defaults to TRUE.
col	Vector of colors for coefficient lines.
...	Additional arguments.

Value

Nothing is returned; instead, a plot of the coefficient paths is drawn at each value of lambda (one 'path' for each coefficient).

Examples

admix_design <- create_design(X = admix$X, y = admix$y)
fit <- plmm(design = admix_design)
plot(fit)
plot(fit, log.l = TRUE)

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