View source: R/coef.cv.cpernet.R
coef.cv.cpernet | R Documentation |
This function gets coefficients from a cross-validated cpernet model, using
the fitted cv.cpernet
object, and the optimal value chosen for
lambda
.
## S3 method for class 'cv.cpernet' coef(object, s = c("lambda.1se", "lambda.min"), ...)
object |
fitted |
s |
value(s) of the penalty parameter |
... |
not used. Other arguments to predict. |
This function makes it easier to use the results of cross-validation to get coefficients or make coefficient predictions.
The object returned depends the ... argument which is passed on
to the predict
method for cpernet
objects.
Yuwen Gu and Hui Zou
Maintainer: Yuwen Gu <yuwen.gu@uconn.edu>
cv.cpernet
, predict.cv.cpernet
set.seed(1) n <- 100 p <- 400 x <- matrix(rnorm(n * p), n, p) y <- rnorm(n) tau <- 0.30 pf <- abs(rnorm(p)) pf2 <- abs(rnorm(p)) w <- 2.0 lambda2 <- 1 m2.cv <- cv.cpernet(y = y, x = x, w = w, tau = tau, eps = 1e-8, pf.mean = pf, pf.scale = pf2, standardize = FALSE, lambda2 = lambda2) as.vector(coef(m2.cv, s = "lambda.min")$beta) as.vector(coef(m2.cv, s = "lambda.min")$theta)
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