HIGHLIGHTS
- who: Aude Sportisse et al. from the (Marie Davidian, course at NC State University, spring, ) have published the research work: R-miss-tastic: a unified platform for missing values methods and workflows, in the Journal: (JOURNAL)
- what: The authors focus on different solutions for estimating linear and logistic regression parameters with missing covariate values (maximum likelihood or multiple imputation). u2022 How to impute missing values? The authors compare different single imputation/matrix completion methods (e_g using conditional models low-rank models etc.). u2022 How to predict with missing values? The authors provide a more detailed . . .
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