Similar to other predict methods, this functions predicts fitted values and class labels from a fitted gcdnet
object.
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object 
fitted 
newx 
matrix of new values for 
s 
value(s) of the penalty parameter 
type 
type of prediction required.

... 
Not used. Other arguments to predict. 
s
is the new vector at which predictions are requested. 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.
Yi Yang and Hui Zou
Maintainer: Yi Yang <yiyang@umn.edu>
Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," Journal of Computational and Graphical Statistics, 22, 396415.
BugReport: http://code.google.com/p/gcdnet/
Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized
linear models via coordinate descent," Journal of Statistical Software, 33, 1.
http://www.jstatsoft.org/v33/i01/
coef
method
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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
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