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pompp
View on CRAN: Click
here
Download and install pompp package within the R console
Install from CRAN:
install.packages("pompp")
Install from Github:
library("remotes")
install_github("cran/pompp") Install by package version:
library("remotes")
install_version("pompp", "0.1.3") Attach the package and use:
library("pompp")
Maintained by
Guido Alberti Moreira
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All associated links for this package
First Published: 2022-09-27
Latest Update: 2022-12-12
Description:
Inspired by Moreira and Gamerman (2022) ,
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' 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).
How to cite:
Guido Alberti Moreira (2022). pompp: Presence-Only for Marked Point Process. R package version 0.1.3, https://cran.r-project.org/web/packages/pompp. Accessed 25 Jun. 2026.
Other packages that cited pompp R package
View pompp citation profile
Other R packages that pompp depends,
imports, suggests or enhances
Complete documentation for pompp
Functions, R codes and Examples using
the pompp R package
Some associated functions: BetaDeltaPrior-class . GammaPrior-class . GammaPrior . LambdaStarPrior-class . NormalPrior-class . NormalPrior . covariates_importance-class . fit_pompp . initial . pompp_fit-class . pompp_initial-class . pompp_model-class . pompp_model . pompp_prior-class . prior .
Some associated R codes: RcppExports.R . covariance_importance.R . fit-class.R . initial-class.R . model-class.R . pompp-package.R . pompp.R . prior-class.R . Full pompp package functions and examples
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