Prediction and plotting for factorized FDboost model components
# S3 method for FDboost_fac
predict(object, newdata = NULL, which = NULL, ...)# S3 method for FDboost_fac
plot(x, which = NULL, main = NULL, ...)
A matrix of predictions (for predict method) or no return value (plot method)
a model-factor given as a FDboost_fac object
optionally, a data frame or list
in which to look for variables with which to predict.
See predict.mboost.
a subset of base-learner components to take into
account for computing predictions or coefficients. Different
components are never aggregated to a joint prediction, but always
returned as a matrix or list. Select the k-th component
by name in the format bl(x, ...)[k] or all components of a base-learner
by dropping the index or all base-learners of a variable by using
the variable name.
additional arguments passed to underlying methods.
the plot title. By default, base-learner names are used with
component numbers [k].
[factorize(), factorize.FDboost()]