Package: imputeGeneric 0.1.0.9000
imputeGeneric: Ease the Implementation of Imputation Methods
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.
Authors:
imputeGeneric_0.1.0.9000.tar.gz
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imputeGeneric.pdf |imputeGeneric.html✨
imputeGeneric/json (API)
NEWS
| # Install 'imputeGeneric' in R: |
| install.packages('imputeGeneric', repos = c('https://torockel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/torockel/imputegeneric/issues
Last updated 3 years agofrom:5a2920f426. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | OK | Nov 09 2024 |
| R-4.5-linux | OK | Nov 09 2024 |
| R-4.4-win | OK | Nov 09 2024 |
| R-4.4-mac | OK | Nov 09 2024 |
| R-4.3-win | OK | Nov 09 2024 |
| R-4.3-mac | OK | Nov 09 2024 |
Exports:impute_iterativeimpute_supervisedimpute_unsupervisedmodel_donororder_colsorder_rowspredict_donorstop_ds_difference
Dependencies:clicodetoolscolorspacecpp11dplyrfansifarvergenericsggplot2globalsgluegowergtablehardhatisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Iterative imputation | impute_iterative |
| Supervised imputation | impute_supervised |
| Unsupervised imputation | impute_unsupervised |
| Model for donor-based imputation | model_donor |
| Order column indices | order_cols |
| Order row indices | order_rows |
| Prediction for donor-based imputation | predict_donor |
| Compare differences between two data sets | stop_ds_difference |
