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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>.
Version: | 1.2.0 |
Depends: | R (≥ 4.0) |
Imports: | extraDistr (≥ 1.9.1), Rfast (≥ 2.0.8), generics (≥ 0.1.3), Rdpack |
Suggests: | knitr, rmarkdown, ggplot2, plotly, tidyverse, spdep, sf, geobr |
Published: | 2024-05-25 |
DOI: | 10.32614/CRAN.package.kDGLM |
Author: | Silvaneo Vieira dos Santos Junior [aut, cre], Mariane Branco Alves [aut], Hélio dos Santos Migon [aut] |
Maintainer: | Silvaneo Vieira dos Santos Junior <silvaneo at dme.ufrj.br> |
BugReports: | https://github.com/silvaneojunior/kDGLM/issues |
License: | GPL (≥ 3) |
URL: | https://silvaneojunior.github.io/kDGLM/ |
NeedsCompilation: | no |
Citation: | kDGLM citation info |
Materials: | README |
In views: | TimeSeries |
CRAN checks: | kDGLM results |
Package source: | kDGLM_1.2.0.tar.gz |
Windows binaries: | r-devel: kDGLM_1.2.0.zip, r-release: kDGLM_1.2.0.zip, r-oldrel: kDGLM_1.2.0.zip |
macOS binaries: | r-release (arm64): kDGLM_1.2.0.tgz, r-oldrel (arm64): kDGLM_1.2.0.tgz, r-release (x86_64): kDGLM_1.2.0.tgz, r-oldrel (x86_64): kDGLM_1.2.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.