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) .


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install.packages("missMethods")

0.2.0 by Tobias Rockel, 10 days ago


https://github.com/torockel/missMethods


Report a bug at https://github.com/torockel/missMethods/issues


Browse source code at https://github.com/cran/missMethods


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