Methods for Missing Data
Supply functions for the creation and handling of
missing data as well as tools to evaluate missing data methods. Nearly
all possibilities of generating missing data discussed by Santos et.
al (2019) <10.1109> and some additional are
implemented. Functions are supplied to compare parameter estimates
and imputed values to true values to evaluate missing data methods.
Evaluations of these types are done, for example, by Cetin-Berber et
al. (2019) <10.1177> and Kim et al. (2005)