KGode

Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations

CRAN Package

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.


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Insights

Last 30 days

This package has been downloaded 174 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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4 downloadsMar 3, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,582 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 21, 2025 with 39 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports4 packages
  • Reverse Imports1 package