CRTSize (1.0)

0 users

Sample Size Estimation Functions for Cluster Randomized Trials.

Sample size estimation in cluster (group) randomized trials. Contains traditional power-based methods, empirical smoothing (Rotondi and Donner, 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).

Maintainer: Michael A Rotondi
Author(s): Michael A Rotondi <>

License: GPL (>= 2)

Uses: Does not use any package

Released almost 5 years ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of CRTSize yet. Want to be the first? Write one now.

Related packages: metaLik, meta, metafor, rmeta, metasens, dfcrm, clinsig, CRM,, bcrm, FrF2, CopulaDTA, catmap, AGSDest, asd, bamdit, asypow, binomSamSize, blockrand, clinfun(20 best matches, based on common tags.)

Search for CRTSize on google, google scholar, r-help, r-devel.

Visit CRTSize on R Graphical Manual.