Package: KGode
Title: Kernel Based Gradient Matching for Parameter Inference in
        Ordinary Differential Equations
Version: 1.0.1
Authors@R: person("Mu", "Niu", email = "mu.niu@plymouth.ac.uk", role = c("aut","cre"))
Author: Mu Niu [aut, cre]
Maintainer: Mu Niu <mu.niu@plymouth.ac.uk>
Description: The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <http://jmlr.org/proceedings/papers/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
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-02-25 23:49:44 UTC; muniu
Repository: CRAN
Date/Publication: 2018-02-26 00:01:03 UTC
