sddr: Spatial Distribution Dynamics

A tidy toolkit for distribution dynamics: analysing how a cross-sectional distribution of values evolves over time and where it settles in the long run. Provides discrete-time, spatial, rank and local indicator of spatial association ('LISA') Markov transition estimation, ergodic analysis (steady-state, mean first passage and sojourn times), rank-mobility measures (Kendall's tau and the Theta statistic) and Markov mobility indices. Methods use long-format 'id'/'time'/'value' data rather than transition matrices and build on the distribution-dynamics literature (Quah (1993); Rey (2001) <doi:10.1111/j.1538-4632.2001.tb00444.x>). Results are validated for numerical parity against the reference 'giddy' library.

Version: 0.1.1
Imports: stats
Suggests: reticulate, spdep, testthat (≥ 3.0.0)
Published: 2026-07-19
DOI: 10.32614/CRAN.package.sddr
Author: Muhammad Farooqi ORCID iD [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi at gmail.com>
BugReports: https://github.com/mqfarooqi1/sddr/issues
License: MIT + file LICENSE
URL: https://github.com/mqfarooqi1/sddr
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: sddr results

Documentation:

Reference manual: sddr.html , sddr.pdf

Downloads:

Package source: sddr_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: sddr_0.1.1.zip, r-oldrel: sddr_0.1.1.zip
macOS binaries: r-release (arm64): sddr_0.1.1.tgz, r-oldrel (arm64): sddr_0.1.1.tgz, r-release (x86_64): sddr_0.1.1.tgz, r-oldrel (x86_64): sddr_0.1.1.tgz

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