bayesPO - Bayesian Inference for Presence-Only Data
Presence-Only data is best modelled with a Point Process Model. The work of Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569> provides a way to use exact Bayesian inference to model this type of data, which is implemented in this package.
Last updated 3 months ago
cppopenmp
4.65 score 3 stars 2 scripts 233 downloadssumR - Approximate Summation of Series
Application of theoretical results which ensure that the summation of an infinite discrete series is within an arbitrary margin of error of its true value. The C code under the hood is shared through header files to allow users to sum their own low level functions as well. Based on the paper by Braden (1992) <doi: 10.2307/2324995>.
Last updated 3 months ago
3.98 score 4 stars 16 scripts 196 downloadspompp - 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).
Last updated 2 years ago
cppopenmp
2.70 score 193 downloads