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>.

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

Documentation:

Reference manual:	kDGLM.pdf
Vignettes:	Space-time model hospital admissions from gastroenteritis Fitting and analysing models kDGLM: an R package for Bayesian analysis of Dynamic Generialized Linear Models Creation of model outcomes Creation of model structures

Downloads:

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

Linking:

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