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) 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) and Kim et al. (2005) .


Reference manual

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0.2.0 by Tobias Rockel, a year ago

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Authors: Tobias Rockel [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports stats

Suggests ggplot2, knitr, lpSolve, mvtnorm, norm, rmarkdown, testthat, tibble

See at CRAN