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 [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

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