kDGLM
Bayesian Analysis of Dynamic Generalized Linear Models
Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.14 |
rolling linux/jammy R-4.5 | kDGLM_1.2.14.tar.gz |
3.6 MiB |
1.2.14 |
rolling linux/noble R-4.5 | kDGLM_1.2.14.tar.gz |
3.6 MiB |
1.2.14 |
rolling source/ R- | kDGLM_1.2.14.tar.gz |
3.4 MiB |
1.2.14 |
latest linux/jammy R-4.5 | kDGLM_1.2.14.tar.gz |
3.6 MiB |
1.2.14 |
latest linux/noble R-4.5 | kDGLM_1.2.14.tar.gz |
3.6 MiB |
1.2.14 |
latest source/ R- | kDGLM_1.2.14.tar.gz |
3.4 MiB |
1.2.14 |
2026-04-26 source/ R- | kDGLM_1.2.14.tar.gz |
3.4 MiB |
1.2.14 |
2026-04-23 source/ R- | kDGLM_1.2.14.tar.gz |
3.4 MiB |
1.2.12 |
2026-04-09 windows/windows R-4.5 | kDGLM_1.2.12.zip |
3.6 MiB |
1.2.7 |
2025-04-20 source/ R- | kDGLM_1.2.7.tar.gz |
3.2 MiB |