Ricrt

Randomization Inference of Clustered Randomized Trials

CRAN Package

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


Insights

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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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
10 downloadsMar 4, 2025
5 downloadsMar 5, 2025
4 downloadsMar 6, 2025
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1 downloadsMar 9, 2025
4 downloadsMar 10, 2025
10 downloadsMar 11, 2025
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5 downloadsMar 22, 2025
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2 downloadsMar 31, 2025
9 downloadsApr 1, 2025
18 downloadsApr 2, 2025
0 downloadsApr 3, 2025
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0 downloadsApr 5, 2025
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18

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 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.

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


Binaries


Dependencies

  • Imports7 packages