Package: geocausal 0.4.2

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]

geocausal_0.4.2.tar.gz
geocausal_0.4.2.zip(r-4.7)geocausal_0.4.2.zip(r-4.6)geocausal_0.4.2.zip(r-4.5)
geocausal_0.4.2.tgz(r-4.6-any)geocausal_0.4.2.tgz(r-4.5-any)
geocausal_0.4.2.tar.gz(r-4.7-any)geocausal_0.4.2.tar.gz(r-4.6-any)
geocausal_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
geocausal/json (API)

# 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_2006 - Airstrikes_2006
insurgencies - Insurgencies
insurgencies_2006 - Insurgencies_2006
iraq_window - Iraq_window

On CRAN:

5.84 score 69 stars 520 downloads 30 exports 164 dependencies

Last updated from:32303fe38d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	230
source / vignettes	OK	315
linux-release-x86_64	OK	232
macos-release-arm64	OK	119
macos-oldrel-arm64	OK	132
windows-devel	OK	133
windows-release	OK	130
windows-oldrel	OK	151
wasm-release	OK	203

Exports:conv_owin_into_sf dx_outpred dx_supthin get_adaptive_baseline_dens get_base_dens get_cate get_cate_sens get_cf_dens get_cf_dens_adaptive 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_sens get_var_bound get_weighted_surf get_window imls_to_arr pixel_count_ppp sim_cf_dens sim_power_dens smooth_ppp

Dependencies:abind backports base64enc boot brew broom bslib cachem car carData class classInt cli codetools colorspace corrplot cowplot cpp11 crosstalk crsuggest data.table DBI deldir Deriv digest doBy dplyr e1071 evaluate farver fastmap fontawesome forecast Formula fracdiff fs furrr future generics geojsonsf geometries ggplot2 ggpubr ggrepel ggsci ggsignif ggthemes globals glue goftest gridExtra gtable highr htmltools htmlwidgets httpuv isoband jquerylib jsonify jsonlite KernSmooth knitr labeling later lattice lazyeval leafem leaflet leaflet.providers leafpop lifecycle listenv lme4 lmtest magrittr mapview MASS Matrix MatrixModels mclust memoise mgcv microbenchmark mime minqa modelr nlme nloptr nnet numDeriv otel parallelly pbkrtest pillar pkgconfig plyr png polyclip polynom progressr promises proxy purrr quantreg R6 rapidjsonr rappdirs raster rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas Rglpk rlang rmarkdown rpart rstatix s2 S7 sass satellite scales servr sf sfheaders slam sp SparseM spatstat.data spatstat.explore spatstat.geom spatstat.model spatstat.random spatstat.sparse spatstat.univar spatstat.utils stringi stringr survival svglite systemfonts tensor terra textshaping tibble tidyr tidyselect tidyterra timeDate tinytex units urca utf8 uuid vctrs viridisLite withr wk xfun yaml zoo

Help page	Topics
airstrikes	airstrikes
airstrikes_2006	airstrikes_2006
Convert windows into sf objects	conv_owin_into_sf
Perform out-of-sample prediction	dx_outpred
Perform superthinning tests	dx_supthin
Generate adaptive intervention densities based on historical data	get_adaptive_baseline_dens
Get the baseline density	get_base_dens
Generate a Hajek estimator for heterogeneity analysis	get_cate
Sensitivity analysis for conditional average treatment effects	get_cate_sens
Get counterfactual densities	get_cf_dens
Get counterfactual densities	get_cf_dens_adaptive
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
Solve linear program for sensitivity bounds at a given gamma	get_linear_prog
Generate observed densities	get_obs_dens
Get power densities	get_power_dens
Sensitivity analysis for counterfactual contrasts	get_sens
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
insurgencies_2006	insurgencies_2006
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 a hyperframe	plot.hyperframe
Plot a pixel image	plot.im
Plot a list of pixel images	plot.imlist
Plot a list of pixel images or point patterns	plot.list
Plot observed densities	plot.obs
Plot simulated power densities	plot.powerlist
Plot a list of point patterns	plot.ppplist
Plot the results of superthinning tests	plot.supthin
Plot weights	plot.weights
Print results	print.cate
Print results	print.est
Generate weighted surfaces for sensitivity analysis	sens_weighted_surf
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 0.4.2

geocausal: Causal Inference with Spatio-Temporal Data

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