CRAN/E | binspp

binspp

Bayesian Inference for Neyman-Scott Point Processes

Installation

About

The Bayesian MCMC estimation of parameters for Thomas-type cluster point process with various inhomogeneities. It allows for inhomogeneity in (i) distribution of parent points, (ii) mean number of points in a cluster, (iii) cluster spread. The package also allows for the Bayesian MCMC algorithm for the homogeneous generalized Thomas process. The cluster size is allowed to have a variance that is greater or less than the expected value (cluster sizes are over or under dispersed). Details are described in Dvořák, Remeš, Beránek & Mrkvička (2022) .

github.com/tomasmrkvicka/binspp

Key Metrics

Version 0.1.26
R ≥ 3.5.0
Published 2022-12-08 498 days ago
Needs compilation? yes
License GPL-3
CRAN checks binspp results

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Maintainer

Maintainer

Remes Radim

inrem@jcu.cz

Authors

Mrkvicka Tomas

aut

Dvorak Jiri

aut

Beranek Ladislav

aut

Remes Radim

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

binspp archive

Depends

R ≥ 3.5.0

Imports

Rcpp
VGAM
cluster
mvtnorm
spatstat
spatstat.model
spatstat.geom
spatstat.random

LinkingTo

Rcpp
RcppArmadillo
RcppEigen