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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.5 |
rolling linux/jammy R-4.5 | magi_1.2.5.tar.gz |
874.3 KiB |
1.2.5 |
rolling linux/noble R-4.5 | magi_1.2.5.tar.gz |
907.4 KiB |
1.2.5 |
rolling source/ R- | magi_1.2.5.tar.gz |
248.7 KiB |
1.2.5 |
latest linux/jammy R-4.5 | magi_1.2.5.tar.gz |
874.3 KiB |
1.2.5 |
latest linux/noble R-4.5 | magi_1.2.5.tar.gz |
907.4 KiB |
1.2.5 |
latest source/ R- | magi_1.2.5.tar.gz |
248.7 KiB |
1.2.5 |
2026-04-26 source/ R- | magi_1.2.5.tar.gz |
248.7 KiB |
1.2.5 |
2026-04-23 source/ R- | magi_1.2.5.tar.gz |
248.7 KiB |
1.2.5 |
2026-04-09 windows/windows R-4.5 | magi_1.2.5.zip |
1.1 MiB |
1.2.4 |
2025-04-20 source/ R- | magi_1.2.4.tar.gz |
558.4 KiB |