Man pages for msde
Bayesian Inference for Multivariate Stochastic Differential Equations
| mou.loglik | Loglikelihood for multivariate Ornstein-Uhlenbeck process. |
| msde-package | msde: Bayesian Inference for Multivariate Stochastic... |
| mvn.hyper.check | Argument checking for the default multivariate normal prior. |
| sde.diff | SDE diffusion function. |
| sde.drift | SDE drift function. |
| sde.examples | Example SDE models. |
| sde.init | MCMC initialization. |
| sde.loglik | SDE loglikelihood function. |
| sde.make.model | Create an SDE model object. |
| sde.post | MCMC sampler for the SDE posterior. |
| sde.prior | SDE prior function. |
| sde.sim | Simulation of multivariate SDE trajectories. |
| sde.valid | SDE data and parameter validators. |
