DESCRIPTION

Package: geocausal
Type: Package
Title: Causal Inference with Spatio-Temporal Data
Version: 0.3.4
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 <mitsuru_mukaigawara@g.harvard.edu>
Description: Spatio-temporal causal inference based on point process data. 
    You provide the raw data of locations and timings of treatment and 
    outcome events, specify counterfactual scenarios, and the package 
    estimates causal effects over specified spatial and temporal windows.
    See Papadogeorgou, et  al. (2022) <doi:10.1111/rssb.12548> and
    Mukaigawara, et al. (2024) <doi:10.31219/osf.io/5kc6f>.
License: MIT + file LICENSE
URL: https://github.com/mmukaigawara/geocausal
Encoding: UTF-8
LazyData: true
Suggests: 
    elevatr,
    geosphere,
    gridExtra,
    ggthemes,
    knitr,
    readr,
    gridGraphics
Imports:
    data.table,
    dplyr,
    furrr,
    ggplot2,
    ggpubr,
    latex2exp,
    mclust,
    progressr,
    purrr,
    sf,
    spatstat.explore,
    spatstat.geom,
    spatstat.model,
    spatstat.univar,
    terra,
    tidyr,
    tidyselect,
    tidyterra
RoxygenNote: 7.3.2
Depends: 
    R (>= 3.5.0)