dshapebivr

matrix with at least 3 columns: x-coordinate, y-coordinate (i.e. center of polygon) and number of observations in area Optional fourth column: ID-Variable if area consists of more than 1 polygon

data

burnin

samples

TRUE for adaptive kernel density estimation

adaptive

shapefile with number of polygons equal to nrow(data)

shapefile

gridsize

Bivariate Kernel density estimation for data classified in polygons or shapes

In self-reported or anonymised data the user often encounters
    heaped data, i.e. data which are rounded (to a possibly different degree
    of coarseness). While this is mostly a minor problem in parametric density
    estimation the bias can be very large for non-parametric methods such as kernel
    density estimation. This package implements a partly Bayesian algorithm treating
    the true unknown values as additional parameters and estimates the rounding
    parameters to give a corrected kernel density estimate. It supports various
    standard bandwidth selection methods. Varying rounding probabilities (depending
    on the true value) and asymmetric rounding is estimable as well. Additionally,
    bivariate non-parametric density estimation for rounded data is supported.

dshapebivr: Bivariate Kernel density estimation for data classified in polygons or shapes

Description

Usage

Arguments

Value