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Npci

Non-parametrics for Causal Inference

Install / Use

/learn @vdorie/Npci
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

WARNING

This package is experimental and not supported. To fit a non-parametric model for causal inference, use bartCause instead.

Prequisites

Rtools for windows. gfortran 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.

View on GitHub
GitHub Stars50
CategoryDevelopment
Updated5mo ago
Forks16

Languages

R

Security Score

77/100

Audited on Oct 18, 2025

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