The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

pompp: Presence-Only for Marked Point Process

Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>, this methodology expands the idea by including Marks in the point process. Using efficient 'C++' code, the estimation is possible and made faster with 'OpenMP' <https://www.openmp.org/> enabled computers. This package was developed under the project PTDC/MAT-STA/28243/2017, supported by Portuguese funds through the Portuguese Foundation for Science and Technology (FCT).

Version: 0.1.3
Depends: R (≥ 2.14.0)
Imports: Rcpp, coda, geoR, parallel, methods, graphics, stats, tools
LinkingTo: Rcpp, RcppEigen, RcppProgress
Suggests: bayesplot, ggplot2, MASS
Published: 2022-12-12
DOI: 10.32614/CRAN.package.pompp
Author: Guido Alberti Moreira ORCID iD [cre, aut]
Maintainer: Guido Alberti Moreira <guidoalber at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: pompp results

Documentation:

Reference manual: pompp.pdf

Downloads:

Package source: pompp_0.1.3.tar.gz
Windows binaries: r-devel: pompp_0.1.3.zip, r-release: pompp_0.1.3.zip, r-oldrel: pompp_0.1.3.zip
macOS binaries: r-release (arm64): pompp_0.1.3.tgz, r-oldrel (arm64): pompp_0.1.3.tgz, r-release (x86_64): pompp_0.1.3.tgz, r-oldrel (x86_64): pompp_0.1.3.tgz
Old sources: pompp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pompp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.