r-dlm
Provides routines for Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models.
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Summary
Provides routines for Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models.
Last Updated
Dec 29, 2019 at 04:30
License
GPL-2
Total Downloads
12
Supported Platforms
linux-64