The Nematrian Function Library
Markov Processes Functions
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The Nematrian function library includes a range of tools that
can carry out analysis or simulation of Markov processes.
The web functions available include ones set out in the
table below. To see a complete list of functions currently available in the
Nematrian online toolkit please go to list of types of available
functions or complete
list of individual functions.
NAVIGATION LINKS
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| Web function | Short description of function |
| MnErgodicProbabilities | Returns the ergodic (long run) probabilities of a system characterised by a Markov chain being in given states |
| MnExampleDataGMMandKMCDataSeries | Example data series for Gaussian mixture modelling and k means clustering |
| MnGaussianMixtureModellingSA | Returns an array giving the results of a Gaussian mixture modelling analysis |
| MnKMeansClusteringSA | Returns an array giving the results of a k means clustering analysis |
| MnRandomlySelectState | Selects a state (0 to n-1) based on state probabilities and a number between 0 and 1 |
| MnSimulateGaussianMixture | Returns simulations of variables assuming that they are drawn from one of a set of Gaussian states with probabilities that follow a Markov chain |