Other packages > Find by keyword >

PointedSDMs  

Fit Models Derived from Point Processes to Species Distributions using 'inlabru'
View on CRAN: Click here


Download and install PointedSDMs package within the R console
Install from CRAN:
install.packages("PointedSDMs")

Install from Github:
library("remotes")
install_github("cran/PointedSDMs")

Install by package version:
library("remotes")
install_version("PointedSDMs", "2.1.6")



Attach the package and use:
library("PointedSDMs")
Maintained by
Philip Mostert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-14
Latest Update:
Description:
Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O
How to cite:
Philip Mostert (2022). PointedSDMs: Fit Models Derived from Point Processes to Species Distributions using 'inlabru'. R package version 2.1.6, https://cran.r-project.org/web/packages/PointedSDMs. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-08-24 15:20), 1.0.5 (2022-06-14 12:30), 1.0.6 (2022-06-15 10:20), 1.1.0 (2022-08-31 10:40), 1.1.1 (2022-09-05 20:30), 1.2.0 (2023-01-16 12:10), 1.2.1 (2023-02-07 16:22), 1.3.1 (2023-10-10 20:50), 1.3.2 (2024-02-02 10:50), 1.3 (2023-08-10 00:30), 2.1.0 (2024-07-08 15:50), 2.1.2 (2024-08-22 00:00), 2.1.3 (2025-01-13 18:50), 2.1.4 (2025-08-29 12:50), 2.1.5 (2026-02-18 16:20)
Other packages that cited PointedSDMs R package
View PointedSDMs citation profile
Other R packages that PointedSDMs depends, imports, suggests or enhances
Complete documentation for PointedSDMs
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA