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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", "0.3.0")



Attach the package and use:
library("geocausal")
Maintained by
Mitsuru Mukaigawara
[Scholar Profile | Author Map]
All associated links for this package
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 0.3.0, https://cran.r-project.org/web/packages/geocausal
Previous versions and publish date:
0.1.0 (2023-08-21 16:10), 0.2.0 (2023-09-21 04:40)
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