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
Insights
Last 30 days
This package has been downloaded 219 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 6 times.
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Last 365 days
This package has been downloaded 3,813 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jun 22, 2024 with 62 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.
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Dependencies
- Imports4 packages
- Suggests7 packages
- Linking To4 packages