Mini-toolbox for Markov modelling

Version 1.0 (1.42 KB) by Nitin Williams
MATLAB functions to perform Markov modelling of state sequences.
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Updated 11 Nov 2017

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MATLAB functions provided to:
1. Perform Maximum Likelihood (MLE) estimation of a discrete Markov model, given single- or multi-trial state sequence.
2. Determine log-likelihood of single- or multi-trial state sequence, given parameters of a particular Markov model.
comments/feedback welcome!

Cite As

Nitin Williams (2025). Mini-toolbox for Markov modelling (https://se.mathworks.com/matlabcentral/fileexchange/64314-mini-toolbox-for-markov-modelling), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Markov _modelling_toolbox/

Version Published Release Notes
1.0

fixed bug in estimating log-likelihood output, in markovmodel_est.m function.