Package: mcanalysis 0.1.0

Dr. Pramit Pandit
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>.
Authors:
mcanalysis_0.1.0.tar.gz
mcanalysis_0.1.0.tar.gz(r-4.7-any)mcanalysis_0.1.0.tar.gz(r-4.6-any)
mcanalysis_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mcanalysis/json (API)
| # Install 'mcanalysis' in R: |
| install.packages('mcanalysis', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a8164c9e2e. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 94 | ||
| source / vignettes | OK | 128 | ||
| linux-release-x86_64 | OK | 91 | ||
| wasm-release | OK | 81 |
Exports:calculate_expectedcreate_tpm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate Expected Values using a Transition Matrix | calculate_expected |
| Create a Transition Probability Matrix (TPM) | create_tpm |