buildmodeldesign: Stepped wedge design model

In trutscheld/SWDsampling: Sampling data within stepped wedge designs, power calculation and simulations

Description

Performs the mean values of a given Stepped wedge design (SWD)

Usage

buildmodeldesign(I, TP, mu, theta, beta.j, sigma.alpha, X.i.j.0, X.i.j = NULL)

Arguments

I	number of clusters (design parameter)
TP	number of timepoints (design parameter)
mu	baseline mean (model parameter)
theta	treatment effect (model parameter)
beta.j	vector of time trents (model parameter)
sigma.alpha	between cluster variability as standard deviation (model parameter)
X.i.j.0	assumed treatment model matrix for a SWD study (model parameter)
X.i.j	data model matrix of real intervention implementation (model parameter), by default (NULL) the same as the X.i.j.0

Value

Data frame with mean intensities corresponding to the SWD model and full model parameter information

Examples

noCl<-10
noT<-6
switches<-2
DM<-designMatrix.SWD(noCl,noT,switches)
buildmodeldesign(I=noCl,TP=noT, mu=0,theta=1,beta.j=rep(1,noT),sigma.alpha=0.5, X.i.j.0=DM)

trutscheld/SWDsampling documentation built on June 1, 2019, 1:52 a.m.