EMLI

Computationally Efficient Maximum Likelihood Identification of Linear Dynamical Systems

CRAN Package

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.

  • Version0.2.0
  • R versionunknown
  • LicenseGPL-2
  • Needs compilation?No
  • Last release11/20/2022

Documentation


Team


Insights

Last 30 days

This package has been downloaded 222 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
24 downloadsMar 4, 2025
12 downloadsMar 5, 2025
3 downloadsMar 6, 2025
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1 downloadsMar 9, 2025
3 downloadsMar 10, 2025
7 downloadsMar 11, 2025
4 downloadsMar 12, 2025
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13 downloadsMar 28, 2025
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2 downloadsMar 31, 2025
13 downloadsApr 1, 2025
7 downloadsApr 2, 2025
0 downloadsApr 3, 2025
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0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,141 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 31 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries