Other packages > Find by keyword >

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 13 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited rcausim R package
View rcausim citation profile
Other R packages that rcausim depends, imports, suggests or enhances
Complete documentation for rcausim
Functions, R codes and Examples using the rcausim R package
Full rcausim package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tvmComp  
Discounting and Compounding Calculations for Various Scenarios
Functions for compounding and discounting calculations included here serve as a complete reference f ...
Download / Learn more Package Citations See dependency  
oii  
Crosstab and Statistical Tests for OII MSc Stats Course
Provides simple crosstab output with optional statistics (e.g., Goodman-Kruskal Gamma, Somers' d, an ...
Download / Learn more Package Citations See dependency  
cmdfun  
Framework for Building Interfaces to Shell Commands
Writing interfaces to command line software is cumbersome. 'cmdfun' provides a framework for buildi ...
Download / Learn more Package Citations See dependency  
TSEwgt  
Total Survey Error Under Multiple, Different Weighting Schemes
Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, using ...
Download / Learn more Package Citations See dependency  
saeMSPE  
Computing MSPE Estimates in Small Area Estimation
We describe a new R package entitled 'saeMSPE' for the well-known Fay Herriot model and nested error ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA