plot.compCL: Plot solution paths from a '"compCL"' object.
In Compack: Regression with Compositional Covariates

Description Usage Arguments Details Value Author(s) References See Also Examples

Produce a coefficient profile plot from a fitted "compCL" object.

1 2	## S3 method for class 'compCL' plot(x, xlab = c("lam", "norm"), label = FALSE, ...)

`x`	fitted `"compCL"` model.
`xlab`	what is on the X-axis. `"lam"` plots against the log-lambda sequence (default) and `"norm"` against the L1-norm of the coefficients.
`label`	if TRUE, label the curve with the variable sequence numbers. Default is `FALSE`.
`...`	other graphical parameters.

A coefficient profile plot for the compositional predictors is produced.

No return value. Side effect is a base R plot.

Zhe Sun and Kun Chen

Lin, W., Shi, P., Peng, R. and Li, H. (2014) Variable selection in regression with compositional covariates, https://academic.oup.com/biomet/article/101/4/785/1775476. Biometrika 101 785-979.

compCL and print, predict and coef methods for "compCL" object.

Comp_data = comp_Model(n = 50, p = 30)
Comp_fit = compCL(y = Comp_data$y, Z = Comp_data$X.comp, Zc = Comp_data$Zc,
                  intercept = Comp_data$intercept)
plot(Comp_fit)
plot(Comp_fit, xlab = "norm", label = TRUE)