https://github.com/mtorrens/cil_article
Replication of CPS data analysis and numerical experiments in the article "Confounder importance learning for treatment effect inference"
https://github.com/mtorrens/cil_article
bayesian-inference gender-gap statistics treatment-effects
Last synced: 6 days ago
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Replication of CPS data analysis and numerical experiments in the article "Confounder importance learning for treatment effect inference"
- Host: GitHub
- URL: https://github.com/mtorrens/cil_article
- Owner: mtorrens
- License: gpl-3.0
- Created: 2021-09-30T15:48:31.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-07-30T15:48:16.000Z (almost 2 years ago)
- Last Synced: 2024-07-30T19:54:28.003Z (almost 2 years ago)
- Topics: bayesian-inference, gender-gap, statistics, treatment-effects
- Language: R
- Homepage:
- Size: 229 KB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Replication of numerical experiments, analysis and figures in the article
CIL routines to replicate analyses in the article "Confounder importance learning for treatment effect inference".
## How to run this project
1. Open (a) script `source/00_start.R` and (b) text file `source/00_code_description.txt`
2. Edit line `30` of the script by replacing the object `PATH` with the local path in which the project is installed
3. Make sure every required library and piece of software specified in the text file are installed
5. Source the `00_start.R` script and follow the instructions in `source/00_code_description.txt` for the rest of scripts.
Details about what each script does can also be found in the file `00_code_description.txt`.