yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools
Version 1.0-27

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.

AuthorNicholas L. Crookston, Andrew O. Finley, John Coulston (Sunil Arya and David Mount for ANN)
Date of publication2015-10-12 17:12:04
MaintainerNicholas L. Crookston <ncrookston.fs@gmail.com>
LicenseGPL (>= 2)
Version1.0-27
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("yaImpute", repos="http://R-Forge.R-project.org")

Popular man pages

compare.yai: Compares different k-NN solutions
grmsd: Generalized Root Mean Square Distance Between Observed and...
newtargets: Finds K nearest neighbors for new target observations
plot.varSel: Boxplot of mean Mahalanobis distances from varSelection()
rmsd.yai: Root Mean Square Difference between observed and imputed
TallyLake: Tally Lake, Flathead National Forest, Montana, USA
yai: Find K nearest neighbors
See all...

All man pages Function index File listing

Man pages

ann: Approximate nearest neighbor search routines
applyMask: Removes neighbors that share (or not) group membership with...
asciigridimpute: Imputes/Predicts data for Ascii Grid maps
bestVars: Computes the number of _best_ X-variables
buildConsensus: Finds the consensus imputations among a list of yai objects
compare.yai: Compares different k-NN solutions
correctbias: Correct bias by selecting different near neighbors
cor.yai: Correlation between observed and imputed
ensembleImpute: Computes the mean, median, or mode among a list of impute.yai...
errorStats: Compute error components of k-NN imputations
foruse: Report a complete imputation
grmsd: Generalized Root Mean Square Distance Between Observed and...
impute.yai: Impute variables from references to targets
MoscowMtStJoe: Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and...
mostused: Tabulate references most often used in imputation
newtargets: Finds K nearest neighbors for new target observations
notablydifferent: Finds obervations with large differences between observed and...
notablydistant: Find notably distant targets
plot.compare.yai: Plots a compare.yai object
plot.notablydifferent: Plots the scaled root mean square differences between...
plot.varSel: Boxplot of mean Mahalanobis distances from varSelection()
plot.yai: Plot observed verses imputed data
predict.yai: Generic predict function for class yai
print: Print a summary of a yai object
rmsd.yai: Root Mean Square Difference between observed and imputed
TallyLake: Tally Lake, Flathead National Forest, Montana, USA
unionDataJoin: Combines data from several sources
vars: List variables in a yai object
varSelection: Select variables for imputation models
whatsMax: Find maximum column for each row
yai: Find K nearest neighbors
yaiRFsummary: Build Summary Data For Method RandomForest
yaiVarImp: Reports or plots importance scores for yai method...

Functions

AsciiGridImpute Man page Source code
AsciiGridPredict Man page Source code
MoscowMtStJoe Man page
TallyLake Man page
addIllegalLevels Source code
ann Man page
applyMask Man page Source code
bestVars Man page Source code
buildConsensus Man page Source code
compare.yai Man page Source code
cor.yai Man page Source code
correctBias Man page Source code
ensembleImpute Man page Source code
errorStats Man page Source code
factorMatch Source code
findFactors Source code
foruse Man page Source code
grmsd Man page Source code
impute Man page Source code
impute.yai Man page Source code
mostused Man page Source code
newtargets Man page Source code
notablyDifferent Man page Source code
notablyDistant Man page Source code
plot.compare.yai Man page Source code
plot.impute.yai Man page
plot.notablyDifferent Man page Source code
plot.varSel Man page Source code
plot.yai Man page Source code
predict.yai Man page Source code
print.yai Man page Source code
rmsd Man page
rmsd.yai Man page Source code
summary.yai Man page Source code
unionDataJoin Man page Source code
varSelection Man page Source code
vars Man page Source code
whatsMax Man page Source code
xvars Man page Source code
yaImpute Man page
yai Man page Source code
yaiRFsummary Man page Source code
yaiVarImp Man page Source code
yvars Man page Source code

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/ann.R
R/applyMask.R
R/asciigridimpute.R
R/buildConsensus.R
R/compare.yai.R
R/cor.yai.R
R/correctbias.R
R/ensembleImpute.R
R/errorstats.R
R/findFactors.R
R/foruse.R
R/grmsd.R
R/impute.R
R/mostused.R
R/newtargets.R
R/notablydifferent.R
R/notablydistant.R
R/plot.yai.R
R/predict.yai.R
R/print.yai.R
R/rmsd.yai.R
R/uniondatajoin.R
R/varSelection.R
R/vars.yai.R
R/whatsMax.R
R/yai.R
R/yaiRFsummary.R
R/yaiVarImp.R
data
data/MoscowMtStJoe.RData
data/TallyLake.RData
inst
inst/CITATION
inst/COPYRIGHTS
man
man/MoscowMtStJoe.Rd
man/TallyLake.Rd
man/ann.Rd
man/applyMask.Rd
man/asciigridimpute.Rd
man/bestVars.Rd
man/buildConsensus.Rd
man/compare.yai.Rd
man/cor.yai.Rd
man/correctbias.Rd
man/ensembleImpute.Rd
man/errorStats.Rd
man/foruse.Rd
man/grmsd.Rd
man/impute.yai.Rd
man/mostused.Rd
man/newtargets.Rd
man/notablydifferent.Rd
man/notablydistant.Rd
man/plot.compare.yai.Rd
man/plot.notablydifferent.Rd
man/plot.varSel.Rd
man/plot.yai.Rd
man/predict.yai.Rd
man/print.Rd
man/rmsd.yai.Rd
man/unionDataJoin.Rd
man/varSelection.Rd
man/vars.Rd
man/whatsMax.Rd
man/yai.Rd
man/yaiRFsummary.Rd
man/yaiVarImp.Rd
src
src/ANN
src/ANN.cpp
src/ANN/ANN.h
src/ANN/ANNperf.h
src/ANN/ANNx.h
src/annImpute.cpp
src/bd_fix_rad_search.cpp
src/bd_pr_search.cpp
src/bd_search.cpp
src/bd_tree.cpp
src/bd_tree.h
src/brute.cpp
src/kd_dump.cpp
src/kd_fix_rad_search.cpp
src/kd_fix_rad_search.h
src/kd_pr_search.cpp
src/kd_pr_search.h
src/kd_search.cpp
src/kd_search.h
src/kd_split.cpp
src/kd_split.h
src/kd_tree.cpp
src/kd_tree.h
src/kd_util.cpp
src/kd_util.h
src/perf.cpp
src/pr_queue.h
src/pr_queue_k.h
src/rfoneprox.cpp
src/util.cpp
src/util.h
yaImpute documentation built on May 21, 2017, 1:20 a.m.

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