[R-sig-ME] Random intercept model- unbalanced cluster
y@@hree19 @ending from gm@il@com
Thu Oct 25 18:00:27 CEST 2018
I am working with a random intercept model on a cluster dataset (Repeated
measurements of plots per household). I have the usual "X" vector
of covariates and one id variable which will make up the random
intercept. For example,
Response variable: Production of maize
Covariates: Size, input quantities, soil fertility dummies etc..
ID variable: Household_ID
However, about 40% of the households own one plot. The number of plots per
household ranges from 1 to 13.
When I estimated the random intercept model using lmer, I can extract a
random intercept for all households, irrespective of their number of plots.
How does lmer treat these households with just 1 plot? Also, is it
theoretically correct to include these observations ?
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