kandi X-RAY | CS_RR Summary
kandi X-RAY | CS_RR Summary
CS_RR is a R library. CS_RR has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
The main goal of this repository is to illustrate how one can combine the heterogeneity-robust Difference-in-Differences procedures proposed by Callaway and Sant’Anna (2021) with the sensitivity analysis tools for potential violations of parallel trends proposed by Rambachan and Roth (2021). These are currently implemented in the did and HonestDiD R packages. Towards that end, we will use the empirical application considered in Callaway and Sant’Anna (2021) about the effect of minimum wage on teen employment. Before we jump into details, let’s install and load some the necessary R packages to run the example.
The main goal of this repository is to illustrate how one can combine the heterogeneity-robust Difference-in-Differences procedures proposed by Callaway and Sant’Anna (2021) with the sensitivity analysis tools for potential violations of parallel trends proposed by Rambachan and Roth (2021). These are currently implemented in the did and HonestDiD R packages. Towards that end, we will use the empirical application considered in Callaway and Sant’Anna (2021) about the effect of minimum wage on teen employment. Before we jump into details, let’s install and load some the necessary R packages to run the example.
Support
Quality
Security
License
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Support
CS_RR has a low active ecosystem.
It has 9 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CS_RR is current.
Quality
CS_RR has no bugs reported.
Security
CS_RR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CS_RR is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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CS_RR releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of CS_RR
CS_RR Key Features
No Key Features are available at this moment for CS_RR.
CS_RR Examples and Code Snippets
No Code Snippets are available at this moment for CS_RR.
Community Discussions
No Community Discussions are available at this moment for CS_RR.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CS_RR
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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