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Initial CRAN release.
classify_dynamics(), markov_dynamics(),
spatial_markov(), and rank_mobility() accept
long sf panels keyed by explicit id,
time, and value columns.transition_matrix(), steady_state(),
class_intervals(), and lag_intervals() provide
tidy access to results.plot_transition_matrix(),
plot_spatial_markov(), and
plot_rank_mobility() return ggplot2
objects.spatial_markov() accepts a geometry
argument: an sf tibble with one row per spatial unit and
nb / wt list-columns produced by
sfdep. This is the preferred input. listw and
nb arguments remain accepted for compatibility with prior
workflows and oracle comparisons.usjoin: 48 contiguous US state per-capita
personal income, 1929–2009, mirroring PySAL’s reference dataset for
spatial Markov examples.estdaR::sp.mkv()
and spdyn::spMarkov(). Optional live cross-checks run when
those packages or PySAL giddy are installed.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.