MARCH is a state-of-the-art software for the computation and analysis of various Markovian models
including Homogeneous Markov Chains, Hidden Markov Models, Double Chain Markov Models and Mixture Transition Distribution models.
Main features include transition matrix analysis, covariates, confidence intervals,
hierarchical models, importation of theoretical models, powerful estimation algorithms, and much more. March is able to analyze very large
and complex data sets.
The current version of MARCH is 3.00.
MARCH is organized around a main screen called the Console reflecting at any time the
current state of the software (current model, current estimation algorithm, and so on).
MARCH is very easy to work with. All actions are performed through menus and dialogue
windows. The philosophy of the software shows clearly the relation between different models. Even if very complicated processes can be
designed, simplified functions give a direct access to the most common models. Results are easy to export and to exploit with other
softwares.
MARCH can be used for research as well as for teaching. Following the needs, different kind of
licenses can be purchased.
MARCH works on computers running Microsoft's Windows operating system, but additional versions could
be developped upon request.
General inquiries regarding MARCH can be sent to march@andreberchtold.com.