predict.cv.biglasso {biglasso}  R Documentation 
Model predictions based on a fitted cv.biglasso()
object
Description
Extract predictions from a fitted cv.biglasso()
object.
Usage
## S3 method for class 'cv.biglasso'
predict(
object,
X,
row.idx = 1:nrow(X),
type = c("link", "response", "class", "coefficients", "vars", "nvars"),
lambda = object$lambda.min,
which = object$min,
...
)
## S3 method for class 'cv.biglasso'
coef(object, lambda = object$lambda.min, which = object$min, ...)
Arguments
object 
A fitted 
X 
Matrix of values at which predictions are to be made. It must be a

row.idx 
Similar to that in 
type 
Type of prediction:

lambda 
Values of the regularization parameter 
which 
Indices of the penalty parameter 
... 
Not used. 
Value
The object returned depends on type
.
Author(s)
Yaohui Zeng and Patrick Breheny
See Also
Examples
## Not run:
## predict.cv.biglasso
data(colon)
X < colon$X
y < colon$y
X.bm < as.big.matrix(X, backingfile = "")
fit < biglasso(X.bm, y, penalty = 'lasso', family = "binomial")
cvfit < cv.biglasso(X.bm, y, penalty = 'lasso', family = "binomial", seed = 1234, ncores = 2)
coef < coef(cvfit)
coef[which(coef != 0)]
predict(cvfit, X.bm, type = "response")
predict(cvfit, X.bm, type = "link")
predict(cvfit, X.bm, type = "class")
predict(cvfit, X.bm, lambda = "lambda.1se")
## End(Not run)