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geocausal  

Causal Inference with Spatio-Temporal Data
View on CRAN: Click here


Download and install geocausal package within the R console
Install from CRAN:
install.packages("geocausal")

Install from Github:
library("remotes")
install_github("cran/geocausal")

Install by package version:
library("remotes")
install_version("geocausal", "0.3.4")



Attach the package and use:
library("geocausal")
Maintained by
Mitsuru Mukaigawara
[Scholar Profile | Author Map]
First Published: 2023-08-21
Latest Update: 2023-09-21
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) .
How to cite:
Mitsuru Mukaigawara (2023). geocausal: Causal Inference with Spatio-Temporal Data. R package version 0.3.4, https://cran.r-project.org/web/packages/geocausal. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2023-08-21 16:10), 0.2.0 (2023-09-21 04:40), 0.3.0 (2024-03-25 22:30), 0.3.1 (2024-07-07 04:40), 0.3.2 (2024-07-19 21:30), 0.3.3 (2024-12-04 00:00)
Other packages that cited geocausal R package
View geocausal citation profile
Other R packages that geocausal depends, imports, suggests or enhances
Complete documentation for geocausal
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