Plot method for plmm class

Usage

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

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.

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

admix_design <- create_design(X = admix$X, outcome_col = admix$y)
fit <- plmm(design = admix_design)
plot(fit)

plot(fit, log.l = TRUE)