| msde-package | msde: Bayesian Inference for Multivariate Stochastic Differential Equations | 
| mou.loglik | Loglikelihood for multivariate Ornstein-Uhlenbeck process. | 
| msde | msde: Bayesian Inference for Multivariate Stochastic Differential Equations | 
| 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. | 
| sde.valid.data | SDE data and parameter validators. | 
| sde.valid.params | SDE data and parameter validators. |