mmpp-2nd-level-functions: Markov Modulated Poisson Process - 2nd Level Functions
In HiddenMarkov: Hidden Markov Models

These functions have not been put into a generic format, but are called by generic functions.

1 2	forwardback.mmpp(tau, Q, delta, lambda, fortran = TRUE, fwd.only = FALSE) Estep.mmpp(tau, Q, delta, lambda, fortran = TRUE)

`tau`	vector containing the interevent times. Note that the first event is at time zero.
`Q`	the infinitesimal generator matrix of the Markov process.
`lambda`	a vector containing the Poisson rates.
`delta`	is the marginal probability distribution of the m hidden states at time zero.
`fortran`	logical, if `TRUE` (default) use the Fortran code, else use the R code.
`fwd.only`	logical, if `FALSE` (default) calculate both forward and backward probabilities; else calculate and return only forward probabilities and log-likelihood.