| agm | Main function for adaptive gradient matching |
| doMCMC | Main MCMC function Runs the MCMC for the specified number of iterations and returns the sampled parameter values |
| getODEGradient | Calculate gradients from ODE system |
| LV_example_dataset | Data from a Lotka-Volterra ODE system with 2 species and 4 parameters. Species in order are: 1. Sheep (Prey) 2. Wolves (Predators) |
| proposeParamsMCMC | Sample from proposal distribution for MCMC |
| sigmoidVarKernCompute | Compute K(x, x2) for sigmoid kernel, used by gptk |
| sigmoidVarKernDiagCompute | Compute diagonal of sigmoid kernel (used by gptk). |
| sigmoidVarKernExpandParam | Insert parameters into sigmoid kernel (used by gptk) |
| sigmoidVarKernExtractParam | Auxiliary function for sigmoid kernel (used by gptk) |
| sigmoidVarKernGradient | Compute gradient of sigmoid kernel with respect to each parameter (used by gptk) |
| sigmoidVarKernParamInit | Auxiliary function for sigmoid kernel (used by gptk) |
| solveODE | Solve ODE system explicitly. |