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juliahub.com : LowLevelParticleFilters
State estimation, smoothing and parameter estimation using Kalman and particle filters.
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purl: pkg:julia/LowLevelParticleFilters
Keywords: virtual-sensing, kalman-filter, dynamical-systems, sequential-monte-carlo, system-identification, unscented-kalman-filter, state-estimation-algorithms, extended-kalman-filter, state-estimation-filters, parameter-estimation, bayesian-inference, state-estimation, estimation, control-systems, controls, monte-carlo-methods, virtual-sensors, data-assimilation, particle-filter, prediction-error-method
License: MIT
Status: removed
Latest release: 7 months ago
First release: about 5 years ago
Dependent packages: 2
Stars: 108 on GitHub
Forks: 14 on GitHub
Total Commits: 344
Committers: 11
Average commits per author: 31.273
Development Distribution Score (DDS): 0.462
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Last synced: 3 months ago