https://github.com/vdorie/npci

Non-parametrics for Causal Inference
https://github.com/vdorie/npci

Last synced: 3 months ago
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Non-parametrics for Causal Inference

• Host: GitHub
• URL: https://github.com/vdorie/npci
• Owner: vdorie
• Created: 2015-07-02T17:34:24.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2022-03-17T02:27:44.000Z (over 2 years ago)
• Last Synced: 2024-06-03T06:38:35.020Z (5 months ago)
• Language: R
• Size: 153 KB
• Stars: 40
• Watchers: 3
• Forks: 17
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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## WARNING

**This package is experimental and not supported. To fit a non-parametric model for causal inference, use [bartCause](https://github.com/vdorie/bartCause) instead.**

## Prequisites

[Rtools](https://cran.r-project.org/bin/windows/Rtools/) for windows. [gfortran](https://github.com/fxcoudert/gfortran-for-macOS/releases) for Mac OS.

## Notes

Contains R code to fit non-parmetric causal inference models. Of particular interest are the calculations in the examples folder.

To run the examples, first install the package by running, from within R

    install.packages("path/to/repository", type = "source", repos = NULL)

or from the command line

    R CMD INSTALL path/to/repository

The file `examples/toy/generatePlots.R` contains code to produce the toy data example. The simulation data can be simply loaded by running `examples/ihdp_sim/loadData.R`, or the simulations produced by running either `examples/ihdp_sim/runLocally.R` or `examples/ihdp_sim/queueJobs.R` (if on a cluster using TORQUE). Change your working directory before doing any of the above.