bigDM
Scalable Bayesian Disease Mapping Models for High-Dimensional Data
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 <doi:10.1016/j.spasta.2021.100496>; Orozco-Acosta et al., 2023 <doi:10.1016/j.cmpb.2023.107403> and Vicente et al., 2023 <doi:10.1007/s11222-023-10263-x>). 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).
Downloads
691
Last 30 days
5374th
2K
Last 90 days
7.3K
Last year
Trend: -6.6% (30d vs prior 30d)
CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (4 non-OK)
installed package size
installed size is 5.6Mb
sub-directories of 1Mb or more:
data 5.2Mb
package dependencies
Package suggested but not available for checking: ‘INLA’
installed package size
installed size is 5.6Mb
sub-directories of 1Mb or more:
data 5.2Mb
package dependencies
Package suggested but not available for checking: ‘INLA’
Check History
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
package dependencies
Package suggested but not available for checking: ‘INLA’
package dependencies
Package suggested but not available for checking: ‘INLA’