Value Members

1.  object Mcmc

   Functions for constucting generic Metropolis-Hastings MCMC algorithms, and associated utilities.

   Functions for constucting generic Metropolis-Hastings MCMC algorithms, and associated utilities. Can be used in conjunction with an unbiased estimate of marginal model likelihood for constructing pseudo-marginal MCMC algorithms, such as PMMH pMCMC.

2.  object Mll

   Functions associated with particle filtering of Markov process models against time series data and the computation of marginal model likelihoods.

3.  object Sim

   Functions for simulating data associated with a Markov process given an appropriate transition kernel.

4.  object SpnModels

   Some example SPN models, each of which can be instantiated with either discrete or continous states.

5.  object Step

   Functions which accept a Spn and return a function for simulating from the transition kernel of that model

6.  object Types

   Object containing basic types used throughout the library.