| loess.control {stats} | R Documentation |
Set control parameters for loess fits.
loess.control(surface = c("interpolate", "direct"),
statistics = c("approximate", "exact"),
trace.hat = c("exact", "approximate"),
cell = 0.2, iterations = 4, ...)
surface |
should be fitted surface be computed exactly or via interpolation from a kd tree? |
statistics |
should the statistics be computed exactly or approximately? Exact computation can be very slow. |
trace.hat |
should the trace of the smoother matrix be computed exactly or approximately? It is recommended to use the approximation for more than about 1000 data points. |
cell |
if interpolation is used this controls the accuracy of the
approximation via the maximum number of points in a cell in the kd
tree. Cells with more than floor(n*span*cell) points are subdivided. |
iterations |
the number of iterations used in robust fitting. |
... |
further arguments which are ignored. |
A list with components
surface |
|
statistics |
|
trace.hat |
|
cell |
|
iterations |
with meanings as explained under ‘Arguments’.