Nearest Neighbor Observation Imputation and Evaluation Tools
Overview
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.
- Fixed C++ issues associateed with ann function (Nick Crookston made modifications to C++ code)
From NEWS in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 33
- Examples that run
- 100%24 run in a plain check
- Exported functions with examples
- 82%
- Documented parameters
- 100%
- Return-value docs
- 86%
- Help pages citing references
- 12%
Downloads
Repository
- PRs merged (all time)
- 50%
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- 10
Stars over time
Forks over time
Issues over time
PRs over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/jeffreyevans/yaimpute on 2026-10-18.
Dependencies
Installing yaImpute adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Previously maintained by Nicholas L. Crookston (1.0-7 to 1.0-32) and Andrew O. Finley (0.0-1 to 1.0-6).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0-36Latest
- RR 4.5.0 released · 2025-04-11
- 1.0-34.12024-09-21 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.0-342023-12-13 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.0-332022-11-03 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0-322020-02-17 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0-312019-01-09 · diff ↗
- 1.0-302018-07-24 · diff ↗
- RR 3.5.0 released · 2018-04-23
Show 46 earlier eventsHide 46 earlier events
- 1.0-292017-12-10 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.0-262015-07-20 · diff ↗
- 1.0-242015-05-16 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 1.0-232014-12-02 · diff ↗
- 1.0-222014-07-11 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 1.0-212014-04-09 · diff ↗
- 1.0-202013-11-27 · diff ↗ ·
added 9 exports
applyMask, bestVars, buildConsensus, ensembleImpute, grmsd, plot.varSel, predict.yai, rmsd, varSelection - 1.0-192013-08-09 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.0-18
- RR 2.15.0 released · 2012-03-30
- 1.0-17
- RR 2.14.0 released · 2011-10-31
- 1.0-16
- RR 2.13.0 released · 2011-04-13
- 1.0-152011-03-03 · diff ↗
- 1.0-142011-03-02 · diff ↗
- 1.0-132011-01-29 · diff ↗
- RR 2.12.0 released · 2010-10-15
- 1.0-122010-09-28 · diff ↗
- 1.0-112010-06-16 · diff ↗
- RR 2.11.0 released · 2010-04-22
- RR 2.10.0 released · 2009-10-26
- 1.0-102009-08-06 · diff ↗
- 1.0-92009-04-19 · diff ↗
- RR 2.9.0 released · 2009-04-17
- 1.0-82009-02-06 · diff ↗
- 1.0-72008-12-21 · diff ↗
- RR 2.8.0 released · 2008-10-20
- 1.0-62008-08-08 · diff ↗
- 1.0-52008-07-18 · diff ↗
- RR 2.7.0 released · 2008-04-22
- 1.0-42008-03-21 · diff ↗
- 1.0-32008-03-02 · diff ↗
- 0.0-52007-12-17 · diff ↗
- RR 2.6.0 released · 2007-10-03
- 0.0-42007-06-22 · diff ↗
- RR 2.5.0 released · 2007-04-24
- 0.0-32007-03-27 · diff ↗
- 0.0-22007-02-01 · diff ↗
- 0.0-12007-01-26
- RR 2.4.0 released · 2006-10-03
Package metadata
- First published
- 2007-01-26
- Total releases
- 36 / 19 yrs
- License
- GPL (>= 2) OSI · relicensed from Except as noted, this package was written and prepared by U.S. Government employees on official time and therefore is in the public domain and not subject to copyright. Function ann and all the code in src except rfoneprox.cpp is covered by Lesser GNU Public License (LGPL). Functions directly modified from packages randomForest and vegan carry the license provisions from the respective packages. in 0.0-5
- Copyright
- ANN library is copyright University of Maryland and Sunil Arya and David Mount. See file COPYRIGHTS for details.
- Minimum R
- ≥ 4.0.0
- Bundled data
- 117 KB / 2 files
- Download size
- 277 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("yaImpute")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v023.i10.
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