RARtrials

Response-Adaptive Randomization in Clinical Trials

CRAN Package

Some response-adaptive randomization methods commonly found in literature are included in this package. These methods include the randomized play-the-winner rule for binary endpoint (Wei and Durham (1978)), the doubly adaptive biased coin design with minimal variance strategy for binary endpoint (Atkinson and Biswas (2013), Rosenberger and Lachin (2015)) and maximal power strategy targeting Neyman allocation for binary endpoint (Tymofyeyev, Rosenberger, and Hu (2007)) and RSIHR allocation with each letter representing the first character of the names of the individuals who first proposed this rule (Youngsook and Hu (2010), Bello and Sabo (2016)), A-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013)), Aa-optimal Allocation for continuous endpoint (Sverdlov and Rosenberger (2013)), generalized RSIHR allocation for continuous endpoint (Atkinson and Biswas (2013)), Bayesian response-adaptive randomization with a control group using the Thall & Wathen method for binary and continuous endpoints (Thall and Wathen (2007)) and the forward-looking Gittins index rule for binary and continuous endpoints (Villar, Wason, and Bowden (2015), Williamson and Villar (2019)).

  • Version0.0.1
  • R version≥ 4.3 stats,
  • LicenseGPL (≥ 3)
  • Needs compilation?No
  • Last release06/04/2024

Documentation


Team


Insights

Last 30 days

This package has been downloaded 121 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 8 times.

Sun
Mon
Tue
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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
5 downloadsMar 4, 2025
2 downloadsMar 5, 2025
3 downloadsMar 6, 2025
4 downloadsMar 7, 2025
1 downloadsMar 8, 2025
0 downloadsMar 9, 2025
5 downloadsMar 10, 2025
7 downloadsMar 11, 2025
6 downloadsMar 12, 2025
9 downloadsMar 13, 2025
6 downloadsMar 14, 2025
3 downloadsMar 15, 2025
2 downloadsMar 16, 2025
0 downloadsMar 17, 2025
6 downloadsMar 18, 2025
6 downloadsMar 19, 2025
5 downloadsMar 20, 2025
8 downloadsMar 21, 2025
6 downloadsMar 22, 2025
2 downloadsMar 23, 2025
2 downloadsMar 24, 2025
4 downloadsMar 25, 2025
2 downloadsMar 26, 2025
5 downloadsMar 27, 2025
1 downloadsMar 28, 2025
1 downloadsMar 29, 2025
2 downloadsMar 30, 2025
6 downloadsMar 31, 2025
4 downloadsApr 1, 2025
8 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
0
9

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 1,336 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 Jul 21, 2024 with 65 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

  • Depends1 package
  • Imports1 package
  • Suggests3 packages