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pompp (version 0.1.3)

Presence-Only for Marked Point Process

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).

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Install

install.packages('pompp')

Monthly Downloads

219

Version

0.1.3

License

GPL (>= 3)

Maintainer

Guido Alberti Moreira

Last Published

December 12th, 2022

Functions in pompp (0.1.3)

pompp_initial-class

Class for the initial values for the MCMC for the pompp package
pompp_model-class

Class that defines a model for the pompp package.
prior

Build a joint prior for pompp model parameters
BetaDeltaPrior-class

Generic class for the beta and delta parameters.
initial

Initial values constructor for pompp modeling
NormalPrior

Create a Normal prior object for model specification.
covariates_importance-class

Class for covariates importance matrices
NormalPrior-class

Normal prior class for Beta and Delta parameters.
GammaPrior-class

Gamma prior class for the LambdaStar parameter.
fit_pompp

Fit presence-only data using the Presence-Only for Marked Point Process model
GammaPrior

Create a Gamma prior object for model specification.
LambdaStarPrior-class

Generic class for the LambdaStar parameters.
pompp_fit-class

Class for the result of the MCMC procedure.
pompp_prior-class

Joint prior class for the pompp package parameters
pompp_model

Build a model to be used in the pompp fitting function