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2018 Jan 31
0
MICE data analysis with glmulti
...ice) library(glmulti) the following line will compute the missing data: tempData <- mice(data,m=5,maxit=50,meth='pmm',seed=500) and the following 2 lines will run the regression on the mice output and pool the results to establish the final result of interest for the model specified... modelFit1 <- with(tempData,glm(Temp~ Ozone+Solar.R+Wind)) summary(pool(modelFit1)) with glmulti I am trying to establish the "best" model by evaluating combinations of all predictors and interactions in different models and would like to force the variable "Ozone" into all models wit...