Package: KGode 1.0.5
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_1.0.5.tar.gz
KGode_1.0.5.tar.gz(r-4.7-any)KGode_1.0.5.tar.gz(r-4.6-any)
KGode_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:8a27794828. Checks:3 OK, 1 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 113 | ||
| source / vignettes | OK | 231 | ||
| linux-release-x86_64 | ERROR | 109 | ||
| wasm-release | OK | 97 |
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 |