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misl  

Multiple Imputation by Super Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("misl", "2.0.0")



Attach the package and use:
library("misl")
Maintained by
Justin Manjourides
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-30
Latest Update: 2026-03-30
Description:
Performs multiple imputation of missing data using an ensemble super learner built with the tidymodels framework. For each incomplete column, a stacked ensemble of candidate learners is trained on a bootstrap sample of the observed data and used to generate imputations via predictive mean matching (continuous), probability draws (binary), or cumulative probability draws (categorical). Supports parallelism across imputed datasets via the future framework.
How to cite:
Justin Manjourides (2026). misl: Multiple Imputation by Super Learning. R package version 2.0.0, https://cran.r-project.org/web/packages/misl. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 1.0.0 (2026-03-30 20:10)
Other packages that cited misl R package
View misl citation profile
Other R packages that misl depends, imports, suggests or enhances
Complete documentation for misl
Functions, R codes and Examples using the misl R package
Full misl package functions and examples
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