Package: pc 0.3

Wenbo Lyu

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>.

Authors:Wenbo Lyu [aut, cre, cph]

pc_0.3.tar.gz
pc_0.3.zip(r-4.7)pc_0.3.zip(r-4.6)pc_0.3.zip(r-4.5)
pc_0.3.tgz(r-4.6-x86_64)pc_0.3.tgz(r-4.6-arm64)pc_0.3.tgz(r-4.5-x86_64)pc_0.3.tgz(r-4.5-arm64)
pc_0.3.tar.gz(r-4.7-arm64)pc_0.3.tar.gz(r-4.7-x86_64)pc_0.3.tar.gz(r-4.6-arm64)pc_0.3.tar.gz(r-4.6-x86_64)
pc_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pc/json (API)

# Install 'pc' in R:

install.packages('pc', repos = c('https://stscl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stscl/pc/issues

Pkgdown/docs site:https://stscl.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

causal-discovery causal-interactions causality causality-algorithms causality-analysis cpp cross-mapping dynamical-systems empirical-dynamic-modeling geoinformatics pattern-causality spatial-data-analysis spatial-statistics time-series time-series-analysis cpp

6.85 score 17 stars 118 scripts 478 downloads 3 exports 51 dependencies

Last updated from:4ebc3c8d60. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	209
linux-devel-x86_64	OK	174
source / vignettes	OK	263
linux-release-arm64	OK	183
linux-release-x86_64	OK	179
macos-release-arm64	OK	163
macos-release-x86_64	OK	213
macos-oldrel-arm64	OK	132
macos-oldrel-x86_64	OK	257
windows-devel	OK	153
windows-release	OK	159
windows-oldrel	OK	160
wasm-release	OK	152

Exports:fnn ops pc

Dependencies:boot class classInt cli cpp11 DBI deldir digest dplyr e1071 farver generics geosphere ggplot2 glue gtable isoband KernSmooth labeling lattice lifecycle magrittr MASS pander pillar pkgconfig proxy purrr R6 RColorBrewer Rcpp RcppArmadillo RcppThread rlang s2 S7 scales sdsfun sf sp spData spdep terra tibble tidyselect units utf8 vctrs viridisLite withr wk

Pattern Causality Analysis

Model principles | Usage examples

Rendered frompc.Rmdusingknitr::rmarkdown

Last update: 2026-04-10
Started: 2026-04-10

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
False Nearest Neighbors	fnn fnn,data.frame-method fnn,sf-method fnn,SpatRaster-method
Optimal Parameter Search for Pattern Causality	ops ops,data.frame-method ops,sf-method ops,SpatRaster-method
Pattern Causality	pc pc,data.frame-method pc,sf-method pc,SpatRaster-method