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magi  

MAnifold-Constrained Gaussian Process Inference
View on CRAN: Click here


Download and install magi package within the R console
Install from CRAN:
install.packages("magi")

Install from Github:
library("remotes")
install_github("cran/magi")

Install by package version:
library("remotes")
install_version("magi", "1.2.5")



Attach the package and use:
library("magi")
Maintained by
Shihao Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-27
Latest Update: 2024-06-22
Description:
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) .
How to cite:
Shihao Yang (2021). magi: MAnifold-Constrained Gaussian Process Inference. R package version 1.2.5, https://cran.r-project.org/web/packages/magi. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 1.0.0 (2021-07-27 10:30), 1.1.3 (2022-01-11 10:02), 1.1.5 (2022-01-14 12:52), 1.2.0 (2022-08-29 17:40), 1.2.1 (2022-12-19 16:00), 1.2.2 (2023-04-25 23:30), 1.2.3 (2024-05-05 23:10), 1.2.4 (2024-06-22 19:30)
Other packages that cited magi R package
View magi citation profile
Other R packages that magi depends, imports, suggests or enhances
Complete documentation for magi
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