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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.
Documentation:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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