locfit.raw | Local Regression, Likelihood and Density Estimation. | locfit.raw |
locfit.raw(x, y, weights=1, cens=NULL, base=0,
scale=F, alpha=0.7, deg=2, kern="tcub", kt="sph", acri="none", basis=list(NULL),
deriv=numeric(0), dc=F,
family, link="default",
xlim, renorm=F,
ev="tree", flim, mg=10, cut=0.8,
maxk=100, itype="default", mint=20, maxit=20, debug=0,
geth=F, sty=rep(1,d))
locfit.raw is an interface to Locfit using numeric vectors (for a model-formula based interface, use locfit). Although this function has a large number of arguments, most users are likely to need only a small subset.The first set of arguments (x, y, weights, cens, and base) specify the regression variables and associated quantities.
Another set (scale, alpha, deg, kern, kt, acri and basis) control the amount of smoothing: bandwidth, smoothing weights and the local model.
deriv and dc relate to derivative (or local slope) estimation.
family and link specify the likelihood family.
xlim and renorm may be used in density estimation.
ev, flim, mg and cut control the set of evaluation points.
maxk, itype, mint, maxit and debug control the Locfit algorithms, and will be rarely used.
geth and sty are used by other functions calling locfit.raw, and should not be used directly.
An object with class "locfit". A standard set of methods for printing, ploting, etc. these objects is provided.
Consult the Web page http://cm.bell-labs.com/stat/project/locfit/.
locfit
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