Calculate power for the 'time x treatment' effect in 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) <doi:10.1016/S01972456(02)002052>, to threelevel models. Additionally, the simulation tools provides flexible ways to investigate bias, Type I errors and the consequences of model misspecification.
Package details 


Author  Kristoffer Magnusson [aut, cre] 
Maintainer  Kristoffer Magnusson <[email protected]> 
License  GPL (>= 3) 
Version  0.4.0 
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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