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yaImpute (version 1.0-9)

yaImpute: An R Package for k-NN Imputation

Description

Performs popular nearest neighbor routines for imputation

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Version

Install

install.packages('yaImpute')

Monthly Downloads

4,669

Version

1.0-9

License

GPL (>= 2)

Maintainer

Nicholas Crookston

Last Published

April 19th, 2009

Functions in yaImpute (1.0-9)

newtargets

Finds K nearest neighbors for new target observations

ann

Approximate nearest neighbor search routines

rmsd.yai

Root Mean Square Difference between observed and imputed

impute.yai

Impute variables from references to targets

whatsMax

Find maximum column for each row

print.yai

Print a summary of a yai object

cor.yai

Correlation between observed and imputed

MoscowMtStJoe

Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data

TallyLake

Tally Lake, Flathead National Forest, Montana, USA

unionDataJoin

Combines data from several sources

yai

Find K nearest neighbors

addXlevels

Adds xlevels to randomForest objects

vars

List variables in a yai object

errorStats

Compute error components of k-NN imputations

notablyDistant

Find notably distant targets

yaiRFsummary

Build Summary Data For Method RandomForest

yaiVarImp

Reprots or plots importance scores for method randomForest

plot.yai

Plot observed verses imputed data

mostused

Tabulate references most often used in imputation

compare.yai

Compares different k-NN solutions

foruse

Report a complete imputation

plot.compare.yai

Plots a compare.yai object

AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps