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dlm: Bayesian and Likelihood Analysis of Dynamic Linear Models
Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models
Getting started
Browse package contents
Package details |
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| Author | Giovanni Petris <GPetris@uark.edu> |
| Maintainer | Giovanni Petris <GPetris@uark.edu> |
| License | GPL (>= 2) |
| Version | 1.1-2 |
| Package repository | View on R-Forge |
| Installation |
Install the latest version of this package by entering the following in R:
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