https://github.com/jeffreyevans/yaimpute

Nearest neighbor-based imputation on multivariate data
https://github.com/jeffreyevans/yaimpute

cran imputation r r-package rstats

Last synced: about 1 year ago
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Nearest neighbor-based imputation on multivariate data

• Host: GitHub
• URL: https://github.com/jeffreyevans/yaimpute
• Owner: jeffreyevans
• License: gpl-3.0
• Created: 2022-10-24T21:45:53.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-02-20T19:43:05.000Z (over 2 years ago)
• Last Synced: 2024-04-26T19:22:20.120Z (about 2 years ago)
• Topics: cran, imputation, r, r-package, rstats
• Language: C++
• Homepage:
• Size: 345 KB
• Stars: 2
• Watchers: 3
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# yaImpute (CRAN 1.0-34, dev 1.0-35) 

[![CRAN

status](http://www.r-pkg.org/badges/version/yaImpute)](https://cran.r-project.org/package=yaImpute)

[![CRAN RStudio mirror

downloads](http://cranlogs.r-pkg.org/badges/grand-total/yaImpute)](https://cran.r-project.org/package=yaImpute)

* Lila Leatherman made the recommendation to retanin the OOB object from a randomForest model. This has been added to the `yai` function as oob = c(FALSE, TRUE) and also results the randomForest argument predict.all = TRUE  

# yaImpute (1.0-34) 

yaImpute (Crookston & Finley 2007) Performs nearest neighbor-based imputation using one or more 

alternative approaches to processing multivariate data. These include methods based on canonical 

correlation: analysis, canonical correspondence analysis, and a multivariate adaptation 

of the random forest classification and regression techniques of Leo Breiman and Adele 

Cutler. Additional methods are also offered. The package includes functions for 

comparing the results from running alternative techniques, detecting imputation targets 

that are notably distant from reference observations, detecting and correcting 

for bias, bootstrapping and building ensemble imputations, and mapping results.

Crookston NL, Finley AO (2007). "yaImpute: An R Package for kNN Imputation." Journal of Statistical Software, 23(10). 

  ISSN 1548-7660, http://www.jstatsoft.org/v23/i10.  

**Bugs**: Users are encouraged to report bugs here. Go to [issues](https://github.com/jeffreyevans/yaImpute/issues) in the menu above, and press new issue to start a new bug report, documentation correction or feature request. You can direct questions to .

**To install `yaImpute` in R use install.packages() to download current stable release from CRAN** 

**or, for the development version, run the following (requires the remotes package):**

`remotes::install_github("jeffreyevans/yaImpute")`