summary.flamCV {flam} | R Documentation |
flamCV
This function summarizes a call to codeflamCV and identifies the tuning parameter chosen by cross-validation.
## S3 method for class 'flamCV' summary(object, ...)
object |
an object of class "flamCV". |
... |
additional arguments to be passed. These are ignored in this function. |
Ashley Petersen
Petersen, A., Witten, D., and Simon, N. (2014). Fused Lasso Additive Model. arXiv preprint arXiv:1409.5391.
#See ?'flam-package' for a full example of how to use this package #generate data set.seed(1) data <- sim.data(n = 50, scenario = 1, zerof = 0, noise = 1) #fit model and select tuning parameters using 2-fold cross-validation #note: use larger 'n.fold' (e.g., 10) in practice flamCV.out <- flamCV(x = data$x, y = data$y, n.fold = 2) #we can summarize the cross-validation function call summary(flamCV.out) #lambda chosen by cross-validation is also available from flamCV.out$lambda.cv