How does one assign a distribution to a variable that has been already assigned one---since it is the outcome we model. All the examples in the book concern NAs in predictors, except for the dog example which has no imputations. I would love for example to see the d) scenario were we know the (MNAR) mechanism of NA. Could one impute random homeworks when H<5 from a distribution that produces values <5 to fill in the NAs before each iteration and use the full vector in the model?
Greetings,
How does one assign a distribution to a variable that has been already assigned one---since it is the outcome we model. All the examples in the book concern NAs in predictors, except for the dog example which has no imputations. I would love for example to see the d) scenario were we know the (MNAR) mechanism of NA. Could one impute random homeworks when H<5 from a distribution that produces values <5 to fill in the NAs before each iteration and use the full vector in the model?
Thank you!