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SpatialGEV
View on CRAN: Click
here
Download and install SpatialGEV package within the R console
Install from CRAN:
install.packages("SpatialGEV")
Install from Github:
library("remotes")
install_github("cran/SpatialGEV")
Install by package version:
library("remotes")
install_version("SpatialGEV", "1.0.1")
Attach the package and use:
library("SpatialGEV")
Maintained by
Meixi Chen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SpatialGEV . SpatialGEV results . SpatialGEV.pdf . SpatialGEV-guide . SpatialGEV_1.0.1.tar.gz . SpatialGEV_1.0.1.zip . SpatialGEV_1.0.1.zip . SpatialGEV_1.0.1.zip . SpatialGEV_1.0.1.tgz . SpatialGEV_1.0.1.tgz . SpatialGEV_1.0.1.tgz . SpatialGEV_1.0.1.tgz . SpatialGEV_1.0.1.tgz . SpatialGEV_1.0.1.tgz . SpatialGEV archive . https://CRAN.R-project.org/package=SpatialGEV .
First Published: 2022-04-05
Latest Update: 2022-04-05
Description:
Fit latent variable models with the GEV distribution as the data likelihood and the GEV parameters following latent Gaussian processes. The models in this package are built using the template model builder 'TMB' in R, which has the fast ability to integrate out the latent variables using Laplace approximation. This package allows the users to choose in the fit function which GEV parameter(s) is considered as a spatially varying random effect following a Gaussian process, so the users can fit spatial GEV models with different complexities to their dataset without having to write the models in 'TMB' by themselves. This package also offers methods to sample from both fixed and random effects posteriors as well as the posterior predictive distributions at different spatial locations. Methods for fitting this class of models are described in Chen, Ramezan, and Lysy (2021) <doi:10.48550/arXiv.2110.07051>.
How to cite:
Meixi Chen (2022). SpatialGEV: Fit Spatial Generalized Extreme Value Models. R package version 1.0.1, https://cran.r-project.org/web/packages/SpatialGEV. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.0 (2022-04-05 11:10)
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Other R packages that SpatialGEV depends,
imports, suggests or enhances
Complete documentation for SpatialGEV
Functions, R codes and Examples using
the SpatialGEV R package
Some associated functions: ONsnow . SpatialGEV-package . grid_location . kernel_exp . kernel_matern . matern_pc_prior . print.spatialGEVfit . print.spatialGEVpred . print.spatialGEVsam . r_nll . sim_cond_normal . simulatedData . simulatedData2 . spatialGEV_fit . spatialGEV_predict . spatialGEV_sample . summary.spatialGEVpred . summary.spatialGEVsam .
Some associated R codes: SpatialGEV-package.R . data.R . grid_location.R . kernel_exp.R . kernel_matern.R . matern_pc_prior.R . r_nll.R . sim_cond_normal.R . spatialGEV_fit.R . spatialGEV_predict.R . spatialGEV_sample.R . summary.R . Full SpatialGEV package functions and examples
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