Tools for Causal Discovery on Observational Data R package causalDisco version 1.2.1 Tools for causal structure learning from observational data, with emphasis on temporally ordered variables. The package implements the Temporal Peter–Clark (TPC) algorithm (Petersen, Osler & Ekstrøm, 2021; <doi:10.1093/aje/kwab087>), the Temporal Greedy Equivalence Search (TGES) algorithm (Larsen, Ekstrøm & Petersen, 2025; <doi:10.48550/arXiv.2502.06232>) and Temporal Fast Causal Inference (TFCI). It provides a unified framework for specifying background knowledge, which can be incorporated into the implemented algorithms from the R packages 'bnlearn' (Scutari, 2010; <doi:10.18637/jss.v035.i03>) and 'pcalg' (Kalish et al., 2012; <doi:10.18637/jss.v047.i11>), as well as the Java library 'Tetrad' (Scheines et al., 1998; <doi:10.1207/s15327906mbr3301_3>). The package further includes utilities for visualization, comparison, and evaluation of graph structures, facilitating performance evaluation and methodological studies. Software Depends: R (>= 4.2.0) Imports: bnlearn, caugi (>= 1.0.0), checkmate, cli, digest, dplyr, lifecycle, methods, pcalg, purrr, R6, rlang, S7, tibble, tidyr, tidyselect Suggests: knitr, mockery, quarto, RhpcBLASctl, rJava, rmarkdown, spelling, testthat (>= 3.0.0), withr, mice, micd Bjarke Hautop Kristensen <bjarke.kristensen@sund.ku.dk> Comprehensive R Archive Network (CRAN) Bjarke Hautop Kristensen [aut, cre], Frederik Fabricius-Bjerre [aut], Anne Helby Petersen [aut], Claus Thorn Ekstrøm [aut], Tobias Ellegaard Larsen [ctb] GPL-2 2026-07-20 application/tgz https://CRAN.R-project.org/package=causalDisco doi:10.32614/CRAN.package.causalDisco en-US