| Name : R-powerlmm
| |
| Version : 0.4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.12
| Date : 2024-06-14 12:13:16
|
| Group : Development/Libraries/Other
| Source RPM : R-powerlmm-0.4.0-lp153.3.12.src.rpm
|
| Size : 1.32 MB
| |
| Packager : (none)
| |
| Summary : Power Analysis for Longitudinal Multilevel Models
|
Description :
Calculate power for the \'time x treatment\' effect in 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)
< doi:10.1016/S0197-2456(02)00205-2>, to three-level models.
Additionally, the simulation tools provides flexible ways to
investigate bias, Type I errors and the consequences of model
misspecification.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
