Other packages > Find by keyword >

intSDM  

Reproducible Integrated Species Distribution Models Across Norway using 'INLA'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("intSDM", "2.1.2")



Attach the package and use:
library("intSDM")
Maintained by
Philip Mostert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-30
Latest Update:
Description:
Integration of disparate datasets is needed in order to make efficient use of all available data and thereby address the issues currently threatening biodiversity. Data integration is a powerful modeling framework which allows us to combine these datasets together into a single model, yet retain the strengths of each individual dataset. We therefore introduce the package, 'intSDM': an R package designed to help ecologists develop a reproducible workflow of integrated species distribution models, using data both provided from the user as well as data obtained freely online. An introduction to data integration 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). intSDM: Reproducible Integrated Species Distribution Models Across Norway using 'INLA'. R package version 2.1.2, https://cran.r-project.org/web/packages/intSDM. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-08-30 14:40), 1.0.5 (2023-02-17 10:00), 2.0.0 (2023-08-17 14:32), 2.0.1 (2023-10-11 09:40), 2.0.2 (2023-10-20 11:00), 2.1.0 (2024-08-21 13:20), 2.1.1 (2025-01-13 15:30)
Other packages that cited intSDM R package
View intSDM citation profile
Other R packages that intSDM depends, imports, suggests or enhances
Complete documentation for intSDM
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
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  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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