miceRanger v1.3.4
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Multiple Imputation by Chained Equations with Random Forests
Multiple Imputation has been shown to
be a flexible method to impute missing values by
Van Buuren (2007) <doi:10.1177/0962280206074463>.
Expanding on this, random forests have been shown
to be an accurate model by Stekhoven and Buhlmann
<arXiv:1105.0828> to impute missing values in datasets.
They have the added benefits of returning out of bag
error and variable importance estimates, as well as
being simple to run in parallel.
Functions in miceRanger
| Name | Description | |
| getVarImps | Get Variable Imputations | |
| sampleMiceDefs | Sample miceDefs object built off of iris dataset. Included so examples don't run for too long. | |
| impute | Impute New Data With Existing Models | |
| plotDistributions | plotDistributions | |
| plotImputationVariance | plotImputationVariance | |
| plotModelError | plotModelError | |
| plotVarConvergence | plotVarConvergence | |
| addIterations | addIterations | |
| addDatasets | addDatasets | |
| plotCorrelations | plotCorrelations | |
| miceRanger | miceRanger: Fast Imputation with Random Forests | |
| print.miceDefs | Print a miceDefs object | |
| plotVarImportance | plotVarImportance | |
| amputeData | amputeData | |
| completeData | completeData | |
| No Results! | ||
Vignettes of miceRanger
| Name | ||
| MICEalgorithm.png | ||
| PMM.png | ||
| diagnosticPlotting.Rmd | ||
| miceAlgorithm.Rmd | ||
| mmEffectsCloseBimodal.png | ||
| mmEffectsFarBimodal.png | ||
| mmEffectsInteger.png | ||
| mmEffectsSkewed.png | ||
| usingMiceRanger.Rmd | ||
| No Results! | ||
Last month downloads
Details
| URL | https://github.com/FarrellDay/miceRanger |
| BugReports | https://github.com/FarrellDay/miceRanger/issues |
| Encoding | UTF-8 |
| LazyData | true |
| License | MIT + file LICENSE |
| RoxygenNote | 7.0.2 |
| VignetteBuilder | knitr |
| NeedsCompilation | no |
| Packaged | 2020-02-22 01:46:57 UTC; SamWilson |
| Repository | CRAN |
| Date/Publication | 2020-02-22 05:50:02 UTC |
| imports | corrplot , crayon , data.table , DescTools , FNN , foreach , ggplot2 , ggpubr , ranger , stats |
| suggests | doParallel , knitr , rmarkdown , testthat (>= 2.1.0) |
| depends | R (>= 3.5.0) |
| Contributors |
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