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ImputeRobust  

Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape
View on CRAN: Click here


Download and install ImputeRobust package within the R console
Install from CRAN:
install.packages("ImputeRobust")

Install from Github:
library("remotes")
install_github("cran/ImputeRobust")

Install by package version:
library("remotes")
install_version("ImputeRobust", "1.3-1")



Attach the package and use:
library("ImputeRobust")
Maintained by
Daniel Salfran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-23
Latest Update: 2018-11-30
Description:
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 .
How to cite:
Daniel Salfran (2017). ImputeRobust: Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape. R package version 1.3-1, https://cran.r-project.org/web/packages/ImputeRobust. Accessed 07 Oct. 2026.
Previous versions and publish date:
1.1-0 (2017-02-23 17:30), 1.1-1 (2017-02-28 00:48), 1.1-2 (2017-04-20 17:05), 1.2 (2017-08-18 14:20), 1.3 (2018-07-01 15:31), (2026-07-09 08:07)
Other packages that cited ImputeRobust R package
View ImputeRobust citation profile
Other R packages that ImputeRobust depends, imports, suggests or enhances
Complete documentation for ImputeRobust
Functions, R codes and Examples using the ImputeRobust R package
Some associated functions: ImpGamlssBootstrap . ImpGamlssFit . ImputeRobust-package . ModelCreator . mice.impute.gamlss . sample.data . tao . 
Some associated R codes: ImputeRobust.R . imp_gamlss_bootstrap.R . imp_gamlss_fit.R . imports.R . mice_impute_gamlss.R . model_creator.R . sample.R . tao.R .  Full ImputeRobust package functions and examples
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