Calculate power for two- and three-level multilevel longitudinal
studies with missing data. Both the third-level factor (e.g. therapists,
schools, or physicians), and the second-level 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)
|Author||Kristoffer Magnusson [aut, cre]|
|Date of publication||2017-09-11 11:43:54 UTC|
|Maintainer||Kristoffer Magnusson <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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