sKDE_without_c: Computes an estimation of the density using Kernel Density...

In ripleyCorr/kdeborder: Kernel density estimation correcting for border bias

Description

Computes an estimation of the density using Kernel Density estimator, without correcting for fontier effects.

Usage

sKDE_without_c(U, polygon, optimal = TRUE, h = 0.1)

Arguments

U	data points.
polygon	polygon on which points lie.
optimal	if TRUE, uses Hpi() to select the optimal bandwidth.
h	only if optimal=FALSE, scalar bandwidth.

Value

Returns a list whose elements are: > X: x coordinates at wich estimate is evaluated, > Y: y coordinates at wich estimate is evaluated, > Z: density estimates, > ZNA: density estimates with NA values for points outside the polygon, > H: bandwidth matrix, > W: vector of weights.

Examples

data(acci)
smoothed_fin_nc <- sKDE_without_c(U = acci$finistere$points,
    polygon = acci$finistere$polygon, optimal=TRUE)

ripleyCorr/kdeborder documentation built on May 26, 2019, 1:33 a.m.