EMLI: Efficient Maximum Likelihood Identification
Provides implementations of computationally efficient maximum likelihood estimation algorithms for system identification tasks. Currently, one such algorithm is implemented which identifies the one-dimensional cumulative structural equation model with normality assumptions. The corresponding scientific paper is yet to be published, therefore the relevant reference is not available yet.
Version: |
0.1.0 |
Imports: |
stats |
Published: |
2022-05-17 |
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:
Downloads:
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