magi
MAnifold-Constrained Gaussian Process Inference
Provides fast and accurate inference for the parameter estimation problem in Ordinary Differential Equations, including the case when there are unobserved system components. Implements the MAGI method (MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) doi:10.1073/pnas.2020397118. A user guide is provided by the accompanying software paper Wong, Yang, and Kou (2024) doi:10.18637/jss.v109.i04.
- Version1.2.4
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- magi citation info
- Last release06/22/2024
Documentation
Team
Shihao Yang
Samuel W.K. Wong
Show author detailsRolesAuthorS.C. Kou
Show author detailsRolesContributor, Copyright holder
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Last 30 days
This package has been downloaded 188 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 3,797 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jun 22, 2024 with 62 downloads.
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Dependencies
- Imports4 packages
- Suggests7 packages
- Linking To4 packages