Takes a fitted
FDboost-object produced by
returns estimated coefficient functions/surfaces \(\beta(t), \beta(s,t)\) and
estimated smooth effects \(f(z), f(x,z)\) or \(f(x, z, t)\).
Not implemented for smooths in more than 3 dimensions.
# S3 method for FDboost coef( object, raw = FALSE, which = NULL, computeCoef = TRUE, returnData = FALSE, n1 = 40, n2 = 40, n3 = 20, n4 = 10, ... )
logical defaults to
raw = FALSE for each effect the estimated function/surface is calculated.
raw = TRUE the coefficients of the model are returned.
a subset of base-learners for which the coefficients
should be computed (numeric vector),
defaults to NULL which is the same as
In the special case of
which=0, only the coefficients of the offset are returned.
FALSE only the names of the terms are returned
return the dataset which is used to get the coefficient estimates as predictions, see Details.
n1, n2, n3 give the number of grid-points for 1-/2-/3-dimensional smooth terms used in the marginal equidistant grids over the range of the covariates at which the estimated effects are evaluated.
gives the number of points for the third dimension in a 3-dimensional smooth term
other arguments, not used.
raw = FALSE, a list containing
offset a list with plot information for the offset.
smterms a named list with one entry for each smooth term in the model.
Each entry contains
x, y, z the unique grid-points used to evaluate the smooth/coefficient function/coefficient surface
xlim, ylim, zlim the extent of the x/y/z-axes
xlab, ylab, zlab the names of the covariates for the x/y/z-axes
value a vector/matrix/list of matrices containing the coefficient values
dim the dimensionality of the effect
main the label of the smooth term (a short label)
raw = TRUE, a list containing the estimated spline coefficients.
raw = FALSE the function
coef.FDboost generates adequate dummy data
and uses the function
compute the estimated coefficient functions.