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imputeGeneric
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
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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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