Package: KGode
Title: Kernel Based Gradient Matching for Parameter Inference in
        Ordinary Differential Equations
Version: 1.0.5
Authors@R: person("Mu", "Niu", email = "mu.niu@glasgow.ac.uk", role = c("aut","cre"))
Author: Mu Niu [aut, cre]
Maintainer: Mu Niu <mu.niu@glasgow.ac.uk>
Description: 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.
Depends: R (>= 3.2.0)
License: GPL (>= 2)
Imports: R6,pracma,pspline,mvtnorm,graphics
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-09-03 06:04:28 UTC; mu.niu
Repository: CRAN
Date/Publication: 2025-09-03 06:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 11:33:16 UTC; unix
