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dlm: Bayesian and Likelihood Analysis of Dynamic Linear Models
Provides routines for Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models.
Getting started
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Package details |
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| Author | Giovanni Petris [aut, cre], Wally Gilks [ctb] (Author of original C code for ARMS) |
| Maintainer | Giovanni Petris <GPetris@uark.edu> |
| License | GPL (>= 2) |
| Version | 1.1-6 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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