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sddr  

Spatial Distribution Dynamics
View on CRAN: Click here


Download and install sddr package within the R console
Install from CRAN:
install.packages("sddr")

Install from Github:
library("remotes")
install_github("cran/sddr")

Install by package version:
library("remotes")
install_version("sddr", "0.1.1")



Attach the package and use:
library("sddr")
Maintained by
Muhammad Farooqi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-19
Latest Update: 2026-07-19
Description:
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.
How to cite:
Muhammad Farooqi (2026). sddr: Spatial Distribution Dynamics. R package version 0.1.1, https://cran.r-project.org/web/packages/sddr. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for sddr
Functions, R codes and Examples using the sddr R package
Full sddr package functions and examples
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