| Name : R-SpatGC
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.3.1
| Date : 2024-09-10 05:42:14
|
| Group : Development/Libraries/Other
| Source RPM : R-SpatGC-0.1.0-lp156.3.1.src.rpm
|
| Size : 0.06 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Modeling of Spatial Count Data
|
Description :
Provides a collection of functions for preparing data and fitting
Bayesian count spatial regression models, with a specific focus on the
Gamma-Count (GC) model. The GC model is well-suited for modeling
dispersed count data, including under-dispersed or over-dispersed
counts, or counts with equivalent dispersion, using Integrated Nested
Laplace Approximations (INLA). The package includes functions for
generating data from the GC model, as well as spatially correlated
versions of the model. See Nadifar, Baghishani, Fallah (2023)
< doi:10.1007/s13253-023-00550-5>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
