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rcausim  

Generate Causally-Simulated Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rcausim", "0.1.1")



Attach the package and use:
library("rcausim")
Maintained by
Herdiantri Sufriyana
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-24
Latest Update: 2024-06-24
Description:
Generate causally-simulated data to serve as ground truth for evaluating methods in causal discovery and effect estimation. The package provides tools to assist in defining functions based on specified edges, and conversely, defining edges based on functions. It enables the generation of data according to these predefined functions and causal structures. This is particularly useful for researchers in fields such as artificial intelligence, statistics, biology, medicine, epidemiology, economics, and social sciences, who are developing a general or a domain-specific methods to discover causal structures and estimate causal effects. Data simulation adheres to principles of structural causal modeling. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rcausim/blob/master/doc/causal_simulation_exemplar.html>.
How to cite:
Herdiantri Sufriyana (2024). rcausim: Generate Causally-Simulated Data. R package version 0.1.1, https://cran.r-project.org/web/packages/rcausim. Accessed 21 Nov. 2024.
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