fastmerge: Pre-binning of Data Points.

In simest: Constrained Single Index Model Estimation

Description

Numerical tolerance problems in non-parametric regression makes it necessary for pre-binning of data points. This procedure is implicitly performed by most of the regression function in R. This function implements this procedure with a given tolerance level.

Usage

fastmerge(DataMat, w = NULL, tol = 1e-04)

Arguments

DataMat	a numeric matrix/vector with rows as data points.
w	an optional numeric vector of the same length as x; Defaults to all elements 1.
tol	a numeric value providing the tolerance for identifying duplicates with respect to the first column.

Details

If two values in the first column of DataMat are separated by a value less than tol then the corresponding rows are merged.

Value

A list including the elements

DataMat	a numeric matrix/vector with rows sorted with respect to the first column.
w	obtained weights corresponding to the merged points.

Author(s)

Arun Kumar Kuchibhotla, [e-mail].

See Also

See also the function smooth.spline.

Examples

args(fastmerge)
x <- runif(100,-1,1)
y <- runif(100,-1,1)
DataMat <- cbind(x, y)
tmp <- fastmerge(DataMat)

simest documentation built on May 2, 2019, 5:40 a.m.