View source: R/predict.cpernet.R
predict.cpernet | R Documentation |
Similar to other predict methods, this function predicts fitted values from a cpernet object.
## S3 method for class 'cpernet' predict(object, newx, s = NULL, type = "response", ...)
object |
fitted |
newx |
matrix of new values for |
s |
value(s) of the penalty parameter |
type |
type of prediction required. Only |
... |
Not used. Other arguments to predict. |
s
is the new vector at which predictions are to be made. If
s
is not in the lambda sequence used for fitting the model, the
predict
function will use linear interpolation to make predictions.
The new values are interpolated using a fraction of predicted values from
both left and right lambda
indices.
The object returned depends on type.
Yuwen Gu and Hui Zou
Maintainer: Yuwen Gu <yuwen.gu@uconn.edu>
cpernet
, coef.cpernet
,
plot.cpernet
, print.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 <- cpernet(y = y, x = x, w = w, tau = tau, eps = 1e-8, pf.mean = pf, pf.scale = pf2, standardize = FALSE, lambda2 = lambda2) predict(m2, newx = x, s = m2$lambda[50])
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