KGode: Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations (original) (raw)
The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <https://proceedings.mlr.press/v48/niu16.html> and the warping algorithm proposed in Niu et al. (2017) <doi:10.1007/s00180-017-0753-z> are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.
| Version: | 1.0.5 |
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| Depends: | R (≥ 3.2.0) |
| Imports: | R6, pracma, pspline, mvtnorm, graphics |
| Published: | 2025-09-03 |
| DOI: | 10.32614/CRAN.package.KGode |
| Author: | Mu Niu [aut, cre] |
| Maintainer: | Mu Niu <mu.niu at glasgow.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | KGode results |
Documentation:
| Reference manual: | KGode.html , <KGode.pdf> |
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Downloads:
| Package source: | KGode_1.0.5.tar.gz |
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| Windows binaries: | r-devel: KGode_1.0.5.zip, r-release: KGode_1.0.5.zip, r-oldrel: KGode_1.0.5.zip |
| macOS binaries: | r-release (arm64): KGode_1.0.5.tgz, r-oldrel (arm64): KGode_1.0.5.tgz, r-release (x86_64): KGode_1.0.5.tgz, r-oldrel (x86_64): KGode_1.0.5.tgz |
| Old sources: | KGode archive |
Reverse dependencies:
| Reverse imports: | shinyKGode |
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Linking:
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