Calculate power for two and threelevel multilevel longitudinal
studies with missing data. Both the thirdlevel factor (e.g. therapists,
schools, or physicians), and the secondlevel factor (e.g. subjects),
can be assigned random slopes. Studies with partially nested designs,
unequal cluster sizes, unequal allocation to treatment arms, and different
dropout patterns per treatment are supported. For all designs power can be
calculated both analytically and via simulations. The analytical
calculations extends the method described in Galbraith et al. (2002)
Package details 


Author  Kristoffer Magnusson [aut, cre] 
Date of publication  20180320 19:08:03 UTC 
Maintainer  Kristoffer Magnusson <[email protected]> 
License  GPL (>= 3) 
Version  0.2.0 
URL  https://github.com/rpsychologist/powerlmm 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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