pc
0.2Pattern Causality Analysis
Overview
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.
Install
Health
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-316 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 67%
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Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/stscl/pc on 2026-07-30.
Dependencies
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2Latest
- 0.12026-03-30
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-30
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet