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
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Last 30 days
This package has been downloaded 186 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18 times.
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Last 365 days
This package has been downloaded 2,245 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 Sep 11, 2024 with 22 downloads.
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Dependencies
- Imports7 packages