x
|
Independent variable (or matrix).
|
y
|
Response variable.
|
weights
|
Prior weights for observations (reciprocal of variance, or sample size).
|
cens
|
Censoring indicators for hazard rate or censored regression.
|
base
|
Baseline parameter estimate.
|
xlim
|
For density estimation, optional vector of lower and upper
bounds for variables.
|
flim
|
A vector of lower and upper bounds for the evaluation structure.
Defaults to the data range.
|
scale
|
A scale to apply to each variable. Effectively, the data is
transformed before fitting, by dividing each component of the
independent variable by the corresponding component of scale.
|
alpha
|
Smoothing parameter. A single number (e.g. alpha=0.7)
is interpreted as a nearest neighbor fraction. With two
componentes (e.g. alpha=c(0.7,1.2)), the first component
is a nearest neighbor fraction, and the second component is
a fixed component. A third component is the penalty term in locally
adaptive smoothing.
|
ev
|
Evaluation Structure, default = "tree". Also available are
"phull", "data", "grid", "kdtree", "kdcenter", "crossval".
|
deg
|
Degree of local polynomial. Default: 2 (local quadratic).
|
family
|
Local likelihood family; "gaussian";
"binomial"; "poisson"; "gamma" and "geom".
Density and rate estimation families are "dens", "rate" and
"hazard" (hazard rate). A default is selected based on whether or
not "y" and "cens" arguments are given; specifying a
family argument overrides the default.
|
link
|
Link function for local likelihood fitting. Depending on the family,
choices may be "ident", "log", "logit", "inverse",
"sqrt".
|
maxk
|
Controls space assignment for evaluation structures, default 50
|
kern
|
Weight function, default = "tcub". Others are "rect", "trwt",
"tria", "epan", "bisq" and "gauss". Choices may be restricted
when derivatives are required; e.g. for confidence bands and some
bandwidth selectors.
|
kt
|
Kernel type, "sph" (default); "prod".
In multivariate problems, Co{"prod"} uses a
simplified product model which speeds up computations.
|
itype
|
Integration type for density estimation.
|
mint
|
Points for numerical integration rules. Default 20.
|
maxit
|
Maximum iterations for local likelihood estimation. Default 20.
|
cut
|
Refinement parameter for adaptive partitions. Default 0.8; smaller
values result in more refined partitions.
|
dc
|
Derivative adjustment.
|
geth
|
Don't use!
|
mg
|
Margin size for grids.
|
deriv
|
Don't use!
|