Description Usage Arguments Value Examples
caceSRTBoot
performs exploraty CACE analysis of simple randomised education trials.
1 | caceSRTBoot(formula, intervention, compliance, nBoot, data)
|
formula |
the model to be analysed. It is of the form y ~ x1+x2+.... Where y is the outcome variable and Xs are the predictors. |
intervention |
a string variable specifying the "intervention variable" as appeared in the formula. See example below |
compliance |
a string variable specifying the "compliance variable" as contained in the data. The data must be in percentages ranging from 0 - 100. |
nBoot |
number of non-parametric bootstraps. Default is NULL. |
data |
data frame containing the data to be analysed. |
S3 mcpi
object; a list consisting of
CACE
. Estimates of CACE adjusted effect sizes based on pre-specified thresholds. Only produced for threshold with atleast 50
Compliers
Percentage of pupils that achieved a pre-specified threshold of compliance.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | if(interactive()){
data(mstData)
############# weighted ITT ####################################
caceOutput3<- caceSRTBoot(Posttest~ Prettest+ Intervention,
intervention="Intervention",
compliance = "Percentage_Attendance",nBoot=1000,data=mstData)
cace <- caceOutput3$CACE
cace
Complier <- caceOutput3$Compliers
Complier
### visualising CACE effect size
plot(caceOutput3)
}
|
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