Weblongpower-package: Sample size calculations for longitudinal data: diggle.linear.power: Sample size calculations for difference in slopes between two groups. edland.linear.power: Linear mixed model sample size calculations. hu.mackey.thomas.linear.power: Random coefficient regression models (RCRM) sample size calculations: liu.liang.linear.power WebThis function performs the sample size calculation for difference in slopes between two groups. See Diggle, et al (2002) and package vignette for more details.

longpower: Sample size calculations for longitudinal data

WebThis function performs the sample size calculation for a mixed model of repeated measures with general correlation structure. See Lu, Luo, & Chen (2008) for parameter definitions and other details. This function executes Formula (3) on page 4. WebSamuel Iddi, PhD and I published this paper in the R Journal recently on the longpower R package and an R shiny app for power and sample size for longitudinal models. The app can source #ADNI data ... reservations for bear lake north beach

longpower: Sample Size Calculations for Longitudinal Data

WebThe longpower package contains functions for computing power and sample size for linear models of longitudinal data based on the formula due to Liu and Liang (1997) and Diggle … WebTo cite package 'longpower' in publications use: Iddi S, Donohue MC (2024). “Power and Sample Size for Longitudinal Models in R-The longpower Package and Shiny App.” R Journal, 14(1), 264-281. Donohue MC (2024). longpower: Power and sample size calculations for linear mixed models. Websample size per group of a mixed-effects model object to placebo data assumed to have either a random intercept, or a random intercept and random effect for time (slope); and fixed effect representing the rate of change in a placebo group. the name or position of the rate of change parameter of interest, e.g. ( "time" , "t", or 2 if it is the ... reservations for angus barn