Package: geocausal Type: Package Title: Causal Inference with Spatio-Temporal Data Version: 0.4.2 Authors@R: c( person(given = "Mitsuru", family = "Mukaigawara", email = "mitsuru_mukaigawara@g.harvard.edu", role = c("cre", "aut"), comment = c(ORCID = "0000-0001-6530-2083")), person(given = "Lingxiao", family = "Zhou", email = "zhou.l@ufl.edu", role = c("aut")), person(given = "Georgia", family = "Papadogeorgou", email = "gpapadogeorgou@ufl.edu", role = "aut", comment = c(ORCID = "0000-0002-1982-2245")), person(given = "Jason", family = "Lyall", email = "Jason.Lyall@dartmouth.edu", role = "aut", comment = c(ORCID = "0000-0001-9117-7503")), person(given = "Kosuke", family = "Imai", email = "imai@harvard.edu", role = "aut", comment = c(ORCID = "0000-0002-2748-1022"))) Maintainer: Mitsuru Mukaigawara Description: Methods for causal inference with spatio-temporal data. Point process tools estimate causal effects over specified spatial and temporal windows from treatment and outcome events. Unit-level longitudinal tools estimate propensity scores and evaluate or learn stochastic treatment policies for discrete spatial or administrative units. See Papadogeorgou, et al. (2022) and Mukaigawara, et al. (2024) . License: MIT + file LICENSE URL: https://github.com/mmukaigawara/geocausal Encoding: UTF-8 LazyData: true Suggests: elevatr, geepack, gridExtra, knitr, readr, gridGraphics, testthat (>= 3.0.0) Imports: crsuggest, ggthemes, data.table, dplyr, furrr, ggplot2, ggpubr, mclust, progressr, purrr, Rglpk, sf, spatstat.explore, spatstat.geom, spatstat.model, spatstat.univar, spatstat.random, terra, tibble, tidyr, tidyselect, tidyterra Depends: R (>= 3.5.0) Config/roxygen2/version: 8.0.0 Config/testthat/edition: 3 RoxygenNote: 7.3.1 Config/pak/sysreqs: libabsl-dev cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev libgdal-dev gdal-bin libgeos-dev libglpk-dev make libharfbuzz-dev libicu-dev libpng-dev libuv1-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev zlib1g-dev Repository: https://mmukaigawara.r-universe.dev Date/Publication: 2026-10-05 15:52:29 UTC RemoteUrl: https://github.com/mmukaigawara/geocausal RemoteRef: HEAD RemoteSha: a240e9cd6493929ddfcfe4a027dc2befa3488b6a NeedsCompilation: no Packaged: 2026-10-07 11:02:35 UTC; root Author: Mitsuru Mukaigawara [cre, aut] (ORCID: ), Lingxiao Zhou [aut], Georgia Papadogeorgou [aut] (ORCID: ), Jason Lyall [aut] (ORCID: ), Kosuke Imai [aut] (ORCID: )