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bigDM
View on CRAN: Click
here
Download and install bigDM package within the R console
Install from CRAN:
install.packages("bigDM")
Install from Github:
library("remotes")
install_github("cran/bigDM") Install by package version:
library("remotes")
install_version("bigDM", "0.5.7") Attach the package and use:
library("bigDM")
Maintained by
Aritz Adin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-08
Latest Update: 2025-03-25
Description:
Implements several spatial and spatio-temporal scalable disease mapping models for high-dimensional count data using the INLA technique for approximate Bayesian inference in latent Gaussian models (Orozco-Acosta et al., 2021 ; Orozco-Acosta et al., 2023 and Vicente et al., 2023 ). The creation and develpment of this package has been supported by Project MTM2017-82553-R (AEI/FEDER, UE) and Project PID2020-113125RB-I00/MCIN/AEI/10.13039/501100011033. It has also been partially funded by the Public University of Navarra (project PJUPNA2001).
How to cite:
Aritz Adin (2022). bigDM: Scalable Bayesian Disease Mapping Models for High-Dimensional Data. R package version 0.5.7, https://cran.r-project.org/web/packages/bigDM. Accessed 07 Jun. 2026.
Previous versions and publish date:
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Other R packages that bigDM depends,
imports, suggests or enhances
Complete documentation for bigDM
Functions, R codes and Examples using
the bigDM R package
Some associated functions: CAR_INLA . Carto_SpainMUN . Data_LungCancer . Data_MultiCancer . MCAR_INLA . Mmodel_compute_cor . Mmodel_icar . Mmodel_iid . Mmodel_lcar . Mmodel_pcar . STCAR_INLA . add_neighbour . bigDM-package . clustering_partition . connect_subgraphs . divide_carto . mergeINLA . random_partition .
Some associated R codes: CAR_INLA.R . MCAR_INLA.R . Mmodel_icar.R . Mmodel_iid.R . Mmodel_lcar.R . Mmodel_pcar.R . STCAR_INLA.R . add_neighbour.R . bigDM-package.R . clustering_partition.R . connect_subgraphs.R . data.R . divide_carto.R . mergeINLA.R . random_partition.R . Full bigDM package functions and examples
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