type.models: Functions to identify types of the models of the mi object
In mi: Missing Data Imputation and Model Checking

Description Usage Arguments Author(s) References See Also

The function to select the model based on the variable type

1 2	type.models(type) mi.types()

type

Nine types: continuous, log-continuous, count, ordered-categorical, unordered-categorical, binary, positive-continuous, proportion, predictive-mean-matching, nonnegative, fixed

Yu-Sung Su suyusung@tsinghua.edu.cn, Masanao Yajima yajima@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu

Yu-Sung Su, Andrew Gelman, Jennifer Hill, Masanao Yajima. (2011). “Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box”. Journal of Statistical Software 45(2).

mi.info

mi documentation built on May 2, 2019, 4:43 p.m.