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sjSDM  

Scalable Joint Species Distribution Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sjSDM", "1.0.6")



Attach the package and use:
library("sjSDM")
Maintained by
Maximilian Pichler
[Scholar Profile | Author Map]
First Published: 2022-01-10
Latest Update: 2023-06-17
Description:
A scalable method to estimate joint Species Distribution Models (jSDMs) for big community datasets based on a Monte Carlo approximation of the joint likelihood.The numerical approximation is based on 'PyTorch' and 'reticulate', and can be run on CPUs and GPUs alike. The method is described in Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>. The package contains various extensions, including support for different response families, ability to account for spatial autocorrelation, and deep neural networks instead of the linear predictor in jSDMs.
How to cite:
Maximilian Pichler (2022). sjSDM: Scalable Joint Species Distribution Modeling. R package version 1.0.6, https://cran.r-project.org/web/packages/sjSDM. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.0 (2022-01-10 11:10), 1.0.1 (2022-03-11 16:40), 1.0.2 (2022-06-24 00:10), 1.0.3 (2022-09-14 15:20), 1.0.4 (2023-03-30 18:50), 1.0.5 (2023-06-18 01:50)
Other packages that cited sjSDM R package
View sjSDM citation profile
Other R packages that sjSDM depends, imports, suggests or enhances
Complete documentation for sjSDM
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