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syerramilli
sysid:System Identification in R
Provides functions for constructing mathematical models of dynamical systems from measured input-output data.
Maintained by Suraj Yerramilli. Last updated 8 years ago.
2.08 score 24 scripts
roustant
kergp:Gaussian Process Laboratory
Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.
Maintained by Olivier Roustant. Last updated 4 months ago.
1 stars 1.83 score 67 scripts