EMLI: Computationally Efficient Maximum Likelihood Identification of
Linear Dynamical Systems
Provides implementations of computationally efficient maximum likelihood parameter estimation algorithms for models that represent linear dynamical systems. Currently, one such algorithm is implemented for the one-dimensional cumulative structural equation model with shock-error output measurement equation and assumptions of normality and independence. The corresponding scientific paper is yet to be published, therefore the relevant reference will be provided later.
| Version: |
0.2.0 |
| Imports: |
stats |
| Published: |
2022-11-20 |
| DOI: |
10.32614/CRAN.package.EMLI |
| Author: |
Vytautas Dulskis [cre, aut],
Leonidas Sakalauskas [aut] |
| Maintainer: |
Vytautas Dulskis <vytautas.dulskis at gmail.com> |
| License: |
GPL-2 |
| Copyright: |
Vilnius University Institute of Data Science and Digital
Technologies |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
EMLI results |
Documentation:
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