hatmatrix()
computes the weight diagrams (also known as
equivalent or effective kernels) for a local regression smooth.
Essentially, hatmatrix()
is a front-end to locfit()
,
setting a flag to compute and return weight diagrams, rather than the
fit.
hatmatrix(formula, dc=TRUE, ...)
A matrix with n rows and p columns; each column being the
weight diagram for the corresponding locfit
fit point.
If ev="data"
, this is the transpose of the hat matrix.
model formula.
derivative adjustment (see locfit.raw
)
Other arguments to locfit
and
locfit.raw
.
locfit
, plot.locfit.1d
, plot.locfit.2d
,
plot.locfit.3d
, lines.locfit
, predict.locfit