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gerbil  

Generalized Efficient Regression-Based Imputation with Latent Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gerbil", "0.1.9")



Attach the package and use:
library("gerbil")
Maintained by
Michael Robbins
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-23
Latest Update: 2023-01-12
Description:
Implements a new multiple imputation method that draws imputations from a latent joint multivariate normal model which underpins generally structured data. This model is constructed using a sequence of flexible conditional linear models that enables the resulting procedure to be efficiently implemented on high dimensional datasets in practice. See Robbins (2021) .
How to cite:
Michael Robbins (2021). gerbil: Generalized Efficient Regression-Based Imputation with Latent Processes. R package version 0.1.9, https://cran.r-project.org/web/packages/gerbil. Accessed 10 Mar. 2026.
Previous versions and publish date:
0.1.5 (2021-03-23 10:00)
Other packages that cited gerbil R package
View gerbil citation profile
Other R packages that gerbil depends, imports, suggests or enhances
Complete documentation for gerbil
Functions, R codes and Examples using the gerbil R package
Some associated functions: cor_gerbil . gerbil . gof_gerbil . ihd . ihd_mar . ihd_mcar . imputed . plot.gerbil . print.cor_gerbil . print.gerbil . print.gof_gerbil . summary.cor_gerbil . summary.gerbil . summary.gof_gerbil . write.gerbil . 
Some associated R codes: cor_gerbil.R . data.R . generics.R . gerbil.R . plot_gerbil.R . test_gerbil.R .  Full gerbil package functions and examples
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