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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 |
| Reference manual: | EMLI.pdf |
| Package source: | EMLI_0.2.0.tar.gz |
| Windows binaries: | r-devel: EMLI_0.2.0.zip, r-release: EMLI_0.2.0.zip, r-oldrel: EMLI_0.2.0.zip |
| macOS binaries: | r-release (arm64): EMLI_0.2.0.tgz, r-oldrel (arm64): EMLI_0.2.0.tgz, r-release (x86_64): EMLI_0.2.0.tgz, r-oldrel (x86_64): EMLI_0.2.0.tgz |
| Old sources: | EMLI archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.