Ricrt
Randomization Inference of Clustered Randomized Trials
Methods for randomization inference in group-randomized trials. Specifically, it can be used to analyze the treatment effect of stratified data with multiple clusters in each stratum with treatment given on cluster level. User may also input as many covariates as they want to fit the data. Methods are described by Dylan S Small et al., (2012) doi:10.1198/016214507000000897.
- Version0.1.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release02/22/2023
Team
Yang Dong
Dylan Small
Show author detailsRolesAuthor, Copyright holderBingkai Wang
Show author detailsRolesAuthor, Copyright holder
Insights
Last 30 days
This package has been downloaded 180 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 2,234 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 22 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.
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Dependencies
- Imports7 packages