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yaImpute (version 1.0-14)

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

1.0-14

License

GPL (>= 2)

Maintainer

Nicholas Crookston

Last Published

March 2nd, 2011

Functions in yaImpute (1.0-14)

AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps

ann

Approximate nearest neighbor search routines

addXlevels

Adds xlevels to randomForest objects

mostused

Tabulate references most often used in imputation

TallyLake

Tally Lake, Flathead National Forest, Montana, USA

MoscowMtStJoe

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

foruse

Report a complete imputation

plot.compare.yai

Plots a compare.yai object

cor.yai

Correlation between observed and imputed

yai

Find K nearest neighbors

plot.yai

Plot observed verses imputed data

errorStats

Compute error components of k-NN imputations

compare.yai

Compares different k-NN solutions

vars

List variables in a yai object

impute.yai

Impute variables from references to targets

rmsd.yai

Root Mean Square Difference between observed and imputed

yaiRFsummary

Build Summary Data For Method RandomForest

yaiVarImp

Reprots or plots importance scores for method randomForest

whatsMax

Find maximum column for each row

unionDataJoin

Combines data from several sources

notablyDistant

Find notably distant targets

print.yai

Print a summary of a yai object

newtargets

Finds K nearest neighbors for new target observations