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yaImpute
View on CRAN: Click
here
Download and install yaImpute package within the R console
Install from CRAN:
install.packages("yaImpute")
Install from Github:
library("remotes")
install_github("cran/yaImpute")
Install by package version:
library("remotes")
install_version("yaImpute", "1.0-34")
Attach the package and use:
library("yaImpute")
Maintained by
Jeffrey S. Evans
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-01-26
Latest Update: 2023-12-12
Description:
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.
How to cite:
Jeffrey S. Evans (2007). yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools. R package version 1.0-34, https://cran.r-project.org/web/packages/yaImpute
Previous versions and publish date:
0.0-1 (2007-01-26 13:22), 0.0-2 (2007-02-01 19:18), 0.0-3 (2007-03-27 10:42), 0.0-4 (2007-06-22 11:51), 0.0-5 (2007-12-17 16:25), 1.0-3 (2008-03-02 14:51), 1.0-4 (2008-03-21 20:28), 1.0-5 (2008-07-18 09:39), 1.0-6 (2008-08-08 14:16), 1.0-7 (2008-12-21 17:35), 1.0-8 (2009-02-06 13:32), 1.0-9 (2009-04-19 20:08), 1.0-10 (2009-08-06 12:56), 1.0-11 (2010-06-16 23:28), 1.0-12 (2010-09-28 09:22), 1.0-13 (2011-01-29 09:36), 1.0-14 (2011-03-02 12:34), 1.0-15 (2011-03-03 07:55), 1.0-16 (2011-09-21 15:18), 1.0-17 (2012-02-08 21:54), 1.0-18 (2012-03-31 07:20), 1.0-19 (2013-08-09 12:36), 1.0-20 (2013-11-27 07:15), 1.0-21 (2014-04-09 21:46), 1.0-22 (2014-07-11 00:12), 1.0-23 (2014-12-02 00:46), 1.0-24 (2015-05-16 09:52), 1.0-26 (2015-07-20 18:36), 1.0-29 (2017-12-10 11:44), 1.0-30 (2018-07-24 07:20), 1.0-31 (2019-01-09 20:30), 1.0-32 (2020-02-17 19:00), 1.0-33 (2022-11-03 23:20)
Other packages that cited yaImpute R package
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Other R packages that yaImpute depends,
imports, suggests or enhances
Functions, R codes and Examples using
the yaImpute R package
Some associated functions: MoscowMtStJoe . TallyLake . ann . applyMask . asciigridimpute . bestVars . buildConsensus . compare.yai . cor.yai . correctbias . ensembleImpute . errorStats . foruse . grmsd . impute.yai . mostused . newtargets . notablydifferent . notablydistant . plot.compare.yai . plot.notablydifferent . plot.varSel . plot.yai . predict.yai . print . rmsd.yai . unionDataJoin . varSelection . vars . whatsMax . yai . yaiRFsummary . yaiVarImp .
Some associated R codes: ann.R . applyMask.R . asciigridimpute.R . buildConsensus.R . compare.yai.R . cor.yai.R . correctbias.R . ensembleImpute.R . errorstats.R . findFactors.R . foruse.R . grmsd.R . impute.R . mostused.R . newtargets.R . notablydifferent.R . notablydistant.R . plot.yai.R . predict.yai.R . print.yai.R . rmsd.yai.R . uniondatajoin.R . varSelection.R . vars.yai.R . whatsMax.R . yai.R . yaiRFsummary.R . yaiVarImp.R . Full yaImpute package functions and examples
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