Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape

Provides new imputation methods for the 'mice' package based on generalized additive models for location, scale, and shape (GAMLSS) as described in de Jong, van Buuren and Spiess .


ImputeRobust v1.3-1 (Release date: 2018-11-25)

  • Disables logs.

ImputeRobust v1.3 (Release date: 2018-06-21)

  • Fixed mismatch of indexes in 'mice.impute.gamlss'.

ImputeRobust v1.2 (Release date: 2017-08-18)

  • Is is possible for the user to modify the imputation models
  • Increased stability of the internal fitting algorithms

ImputeRobust v1.1-2 (Release date: 2017-04-20)

  • Fixed error in 'ImpGamlsFit' that prevented the Imputation algorithm to run in Windows

ImputeRobust v1.1-1 (Release date: 2017-02-24)

  • Moved formal arguments in 'fit.gamlss' to the inner fitting function due to an error where formal arguments were being matched multiple times.

Reference manual

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1.3-1 by Daniel Salfran, 2 years ago

Browse source code at

Authors: Daniel Salfran [aut, cre] , Martin SpieƟ [aut, ths]

Documentation:   PDF Manual  

GPL-3 license

Imports purrr, extremevalues, gamlss.dist, lattice

Depends on gamlss, mice

See at CRAN