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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
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Maintainer: | Guido Alberti Moreira <guidoalber at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
CRAN checks: | pompp results |
Reference manual: | pompp.pdf |
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 |
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These binaries (installable software) and packages are in development.
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