QTE.RD
Quantile Treatment Effects under the Regression Discontinuity Design
Provides comprehensive methods for testing, estimating, and conducting uniform inference on quantile treatment effects (QTEs) in sharp regression discontinuity (RD) designs, incorporating covariates and implementing robust bias correction methods of Qu, Yoon, Perron (2024) doi:10.1162/rest_a_01168.
- Version1.1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- Last release08/29/2024
Documentation
Team
Jungmo Yoon
Zhongjun Qu
Show author detailsRolesAuthor, Copyright holder
Insights
Last 30 days
This package has been downloaded 144 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,971 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Aug 30, 2024 with 37 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports2 packages
- Suggests1 package