Package: geocausal 0.3.4

geocausal: Causal Inference with Spatio-Temporal Data

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>.

Authors:Mitsuru Mukaigawara [cre, aut], Lingxiao Zhou [aut], Georgia Papadogeorgou [aut], Jason Lyall [aut], Kosuke Imai [aut]

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geocausal.pdf |geocausal.html✨
geocausal/json (API)
NEWS

# Install 'geocausal' in R:

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

Bug tracker:https://github.com/mmukaigawara/geocausal/issues

Datasets:

airstrikes - Airstrikes
airstrikes_base - Airstrikes_base
insurgencies - Insurgencies
iraq_window - Iraq_window

On CRAN:

5.77 score 45 stars 327 downloads 25 exports 107 dependencies

Last updated 11 days agofrom:6e7c4748ee. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 20 2025
R-4.5-win	OK	Mar 20 2025
R-4.5-mac	OK	Mar 20 2025
R-4.5-linux	OK	Mar 20 2025
R-4.4-win	OK	Mar 20 2025
R-4.4-mac	OK	Mar 20 2025
R-4.4-linux	OK	Mar 20 2025
R-4.3-win	OK	Mar 20 2025
R-4.3-mac	OK	Mar 20 2025

Exports:conv_owin_into_sf get_base_dens get_cate get_cf_dens get_cf_sum_log_intens get_dist_focus get_dist_line get_distexp get_elev get_em_vec get_est get_estimates get_hfr get_hist get_obs_dens get_power_dens get_var_bound get_weighted_surf get_window imls_to_arr pixel_count_ppp predict_obs_dens sim_cf_dens sim_power_dens smooth_ppp

Dependencies:abind backports boot broom car carData class classInt cli codetools colorspace corrplot cowplot cpp11 data.table DBI deldir Deriv digest doBy dplyr e1071 fansi farver Formula furrr future generics ggplot2 ggpubr ggrepel ggsci ggsignif globals glue goftest gridExtra gtable isoband KernSmooth labeling latex2exp lattice lifecycle listenv lme4 magrittr MASS Matrix MatrixModels mclust mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv parallelly pbkrtest pillar pkgconfig polyclip polynom progressr proxy purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack reformulas rlang rpart rstatix s2 scales sf SparseM spatstat.data spatstat.explore spatstat.geom spatstat.model spatstat.random spatstat.sparse spatstat.univar spatstat.utils stringi stringr survival tensor terra tibble tidyr tidyselect tidyterra units utf8 vctrs viridisLite withr wk

Help page	Topics
airstrikes	airstrikes
airstrikes_base	airstrikes_base
Convert windows into sf objects	conv_owin_into_sf
Get the baseline density	get_base_dens
Generate a Hajek estimator for heterogeneity analysis	get_cate
Get counterfactual densities	get_cf_dens
Calculate the log counterfactual densities	get_cf_sum_log_intens
Get distance maps	get_dist_focus
Get distance maps from lines and polygons	get_dist_line
Get the expectation of treatment events with arbitrary distances	get_distexp
Get elevation data	get_elev
convert a list of im objects to a vector	get_em_vec
Get causal estimates comparing two scenarios	get_est
Generate a Hajek estimator	get_estimates
Create a hyperframe	get_hfr
Obtain histories of treatment or outcome events	get_hist
Generate observed densities	get_obs_dens
Get power densities	get_power_dens
Calculate variance upper bounds	get_var_bound
Generate average weighted surfaces	get_weighted_surf
Generate a window	get_window
convert a list of im objects to a three-dimensional array	imls_to_arr
insurgencies	insurgencies
iraq_window	iraq_window
Get number of events in a pixel	pixel_count_ppp
Plot estimated CATE	plot.cate
Plot simulated counterfactual densities	plot.cflist
Plot distance-based expectations	plot.distlist
Plot estimates	plot.est
Plot estimates	plot.hyperframe
Plot im	plot.im
Plot im objects (list)	plot.imlist
Plot lists	plot.list
Plot observed densities	plot.obs
Plot simulated power densities	plot.powerlist
Plot point pattern (list)	plot.ppplist
Plot weights	plot.weights
Perform out-of-sample prediction	predict_obs_dens
Print results	print.cate
Print results	print.est
Simulate counterfactual densities	sim_cf_dens
Simulate power densities	sim_power_dens
Smooth outcome events	smooth_ppp
Summarize results	summary.cate
Summarize results	summary.est
Summarize results	summary.obs

Package: geocausal 0.3.4

geocausal: Causal Inference with Spatio-Temporal Data

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