Package: KGode 1.0.4
Mu Niu
KGode: Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
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.
Authors:
KGode_1.0.4.tar.gz
KGode_1.0.4.tar.gz(r-4.5-noble)KGode_1.0.4.tar.gz(r-4.4-noble)
KGode_1.0.4.tgz(r-4.4-emscripten)KGode_1.0.4.tgz(r-4.3-emscripten)
KGode.pdf |KGode.html✨
KGode/json (API)
| # Install 'KGode' in R: |
| install.packages('KGode', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:0c1e348bfa. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux | NOTE | Nov 20 2024 |
Exports:bootstrapcrossvdiagnosticKernelMLPodeRBFrkgrkg3rkhsthirdWarpwarpfunwarpInitLen
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'bootstrap' function | bootstrap |
| The 'crossv' function | crossv |
| The 'diagnostic' function | diagnostic |
| The 'Kernel' class object | Kernel |
| The 'MLP' class object | MLP |
| The 'ode' class object | ode |
| The 'RBF' class object | RBF |
| The 'rkg' function | rkg |
| The 'rkg3' class object | rkg3 |
| The 'rkhs' class object | rkhs |
| The 'third' function | third |
| The 'Warp' class object | Warp |
| The 'warpfun' function | warpfun |
| The 'warpInitLen' function | warpInitLen |