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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 |
| Reference manual: | mcanalysis.html , mcanalysis.pdf |
| Package source: | mcanalysis_0.1.0.tar.gz |
| Windows binaries: | r-devel: mcanalysis_0.1.0.zip, r-release: not available, r-oldrel: mcanalysis_0.1.0.zip |
| macOS binaries: | r-release (arm64): mcanalysis_0.1.0.tgz, r-oldrel (arm64): mcanalysis_0.1.0.tgz, r-release (x86_64): mcanalysis_0.1.0.tgz, r-oldrel (x86_64): mcanalysis_0.1.0.tgz |
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