pc: Pattern Causality Analysis
Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description proposed in Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
| Version: |
0.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
ggplot2, methods, sdsfun, sf, stats, terra |
| LinkingTo: |
Rcpp, RcppThread |
| Suggests: |
Rcpp, RcppThread, readr, infoxtr, spEDM, tEDM |
| Published: |
2026-04-10 |
| DOI: |
10.32614/CRAN.package.pc |
| Author: |
Wenbo Lyu  [aut,
cre, cph] |
| Maintainer: |
Wenbo Lyu <lyu.geosocial at gmail.com> |
| BugReports: |
https://github.com/stscl/pc/issues |
| License: |
GPL-3 |
| URL: |
https://stscl.github.io/pc/, https://github.com/stscl/pc |
| NeedsCompilation: |
yes |
| Citation: |
pc citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
pc results |
Documentation:
Downloads:
Reverse dependencies:
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