Description Usage Arguments Details Value See Also Examples
View source: R/predict.cv.pcLasso.R
This function returns the predictions for a new data matrix from a
cross-validated pcLasso model by using the stored "glmfit
" object and
the optimal value chosen for lambda
.
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object |
Fitted " |
xnew |
Matrix of new values for |
s |
Value of the penalty parameter |
... |
Potentially other arguments to be passed to and from methods; currently not in use. |
This function makes it easier to use the results of cross-validation to make
a prediction. Note that xnew
should have the same number of columns as
the original feature space, regardless of whether the groups are overlapping
or not.
Predictions which the cross-validated model makes for xnew
at
the optimal value of lambda
. Note that the default is the "lambda.1se" for lambda,
to make this function consistent with cv.glmnet
in the glmnet
package. The output is predictions of E(y|xnew): these are probabilities
for the binomial family.
cv.pcLasso
and predict.pcLasso
.
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