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imputeGeneric  

Ease the Implementation of Imputation Methods
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("imputeGeneric", "0.1.0")



Attach the package and use:
library("imputeGeneric")
Maintained by
Tobias Rockel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-03
Latest Update: 2022-03-03
Description:
The general workflow of most imputation methods is quite similar. The aim of this package is to provide parts of this general workflow to make the implementation of imputation methods easier. The heart of an imputation method is normally the used model. These models can be defined using the 'parsnip' package or customized specifications. The rest of an imputation method are more technical specification e.g. which columns and rows should be used for imputation and in which order. These technical specifications can be set inside the imputation functions.
How to cite:
Tobias Rockel (2022). imputeGeneric: Ease the Implementation of Imputation Methods. R package version 0.1.0, https://cran.r-project.org/web/packages/imputeGeneric. Accessed 07 Nov. 2024.
Previous versions and publish date:
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Complete documentation for imputeGeneric
Functions, R codes and Examples using the imputeGeneric R package
Some associated functions: impute_iterative . impute_supervised . impute_unsupervised . model_donor . order_cols . order_rows . predict_donor . stop_ds_difference . 
Some associated R codes: impute_iterative.R . impute_supervised.R . impute_unsupervised.R . model_donor.R . order_indices.R . stop_fun.R . utils.R .  Full imputeGeneric package functions and examples
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