inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Canonical link: https://rscholar.com/pkg/inlabru

Finn Lindgren • Fabian E. Bachl • Gorilla data import • sampling • Daniel Simpson • Lindesay Scott-Howard • Seaton Andy • bugfixes • and • Suen Man Ho • responses • Roudier Pierre • Meehan Tim • Reddy Peddinenikalva Niharika • View description and downloads View dependencies GitHub project

2017 Published

0 Citations

14 Authors

19 Revisions

2.12.0 Version

GPL-2 License

Referenced by ⇅	Year
clustTMB: Spatio-Temporal Finite Mixture Model using 'TMB' (Version 0.1.0)	2024
intSDM: Reproducible Integrated Species Distribution Models Across Norway using 'INLA' (Version 2.1.1)	2022
INLAspacetime: Spatial and Spatio-Temporal Models using 'INLA' (Version 0.1.10)	2023
MetricGraph: Random Fields on Metric Graphs (Version 1.4.0)	2023
PointedSDMs: Fit Models Derived from Point Processes to Species Distributions using 'inlabru' (Version 2.1.3)	2022
bmstdr: Bayesian Modeling of Spatio-Temporal Data with R (Version 0.7.9)	2022
rSPDE: Rational Approximations of Fractional Stochastic Partial Differential Equations (Version 2.4.0)	2019

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