mdgc-package {mdgc}

mdgc: Missing Data imputation using Gaussian Copulas

Description

The mdgc package is used to estimate Gaussian Copula models for mixed data types (continuous, binary, ordinal, and multinomial) that can be used for imputations. The main function is the mdgc function. The rest of the functions in the package give the user access to lower level functions.

Examples are provided at https://github.com/boennecd/mdgc. The package is still in a development stage and the API may change.

Author(s)

Maintainer: Benjamin Christoffersen [e-mail] (ORCID)

Other contributors:

• Alan Genz [copyright holder]

• Frank Bretz [copyright holder]

• Torsten Hothorn [copyright holder]

• R-core [e-mail] [copyright holder]

• Ross Ihaka [copyright holder]

References

Christoffersen, B., Clements, M., Humphreys, K., & Kjellström, H. (2021). Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types. https://arxiv.org/abs/2102.02642.

See Also

Useful links:

• https://github.com/boennecd/mdgc

• Report bugs at https://github.com/boennecd/mdgc/issues