Description Usage Arguments Details Value References See Also Examples
View source: R/coef.cv.lrome.R
This function gets coefficients or makes coefficient predictions from a cross-validated lrome model,
using the stored "lrome.fit"
object, and the optimal value
chosen for lambda
.
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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 lrome
objects.
Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," Journal of Computational and Graphical Statistics, 22, 396-415.
BugReport: https://github.com/emeryyi/fastcox.git
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/
cv.lrome
, and predict.cv.lrome
methods.
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