mcanalysis: Markov Chain Analysis for Structural Behaviour and Stability
Analyses the stability and structural behaviour of export and import patterns across multiple countries using a Markov chain modelling framework. Constructs transition probability matrices to quantify changes in trade shares between successive periods, thereby capturing persistence, structural shifts, and inter-country interdependence in trade performance. By iteratively generating expected trade distributions over time, the approach facilitates assessment of stability, long-run equilibrium tendencies, and comparative dynamics in longitudinal trade data, providing a rigorous tool for empirical analysis of export–import behaviour. Methodological foundations follow standard Markov chain theory as described in Gagniuc (2017) <Doi:10.1002/9781119387596>.
| Version: |
0.1.0 |
| Published: |
2026-01-15 |
| DOI: |
10.32614/CRAN.package.mcanalysis (may not be active yet) |
| Author: |
Dr. Pramit Pandit [aut, cre],
Mr. Ankit Kumar Singh [aut],
Ms. Anita Sarkar [aut],
Ms. Moumita Paul [aut],
Dr. Bikramjeet Ghose [aut] |
| Maintainer: |
Dr. Pramit Pandit <pramitpandit at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
mcanalysis results |
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