Package: sddr 0.1.1.9000

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.

Authors:Muhammad Farooqi [aut, cre]

sddr_0.1.1.9000.tar.gz
sddr_0.1.1.9000.zip(r-4.7)sddr_0.1.1.9000.zip(r-4.6)sddr_0.1.1.9000.zip(r-4.5)
sddr_0.1.1.9000.tgz(r-4.6-any)sddr_0.1.1.9000.tgz(r-4.5-any)
sddr_0.1.1.9000.tar.gz(r-4.7-any)sddr_0.1.1.9000.tar.gz(r-4.6-any)
sddr_0.1.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
sddr/json (API)

# Install 'sddr' in R:
install.packages('sddr', repos = c('https://mqfarooqi1.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mqfarooqi1/sddr/issues

On CRAN:

Conda:

3.18 score 1 stars 12 exports 0 dependencies

Last updated from:fb060f78ff. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK157
linux-release-x86_64OK117
macos-release-arm64OK110
macos-oldrel-arm64OK88
windows-develOK70
windows-releaseOK68
windows-oldrelOK84
wasm-releaseOK89

Exports:full_rank_markovgeo_rank_markovlisa_markovmarkovmfptmobilitysojourn_timespatial_markovsteady_statetautau_localtheta

Dependencies: