mmglm-2nd-level-functions

Estep.mmglm1

Mstep.mmglm1

an object with class <code>"mmglm"</code> or <code>"mmglmlong"</code>

object

a matrix of weights by Markov state and observation used in fitting the generalised linear model.

logical, if <code>TRUE</code> (default) use the Fortran code in the forward-backward equations, else use the R code.

fortran

These functions will generally not be called directly by the user.

misc

Contains functions for the analysis of Discrete Time Hidden Markov Models, Markov Modulated GLMs and the Markov Modulated Poisson Process. It includes functions for simulation, parameter estimation, and the Viterbi algorithm. See the topic "HiddenMarkov" for an introduction to the package, and "Change Log" for a list of recent changes. The algorithms are based of those of Walter Zucchini.

mmglm-2nd-level-functions: Markov Modulated Generalised Linear Model - 2nd Level Functions

Description

Usage

Arguments