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yaImpute (version 1.0-5)

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

1.0-5

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

September 21st, 2024

Functions in yaImpute (1.0-5)

ann

Approximate nearest neighbor search routines

addXlevels

Adds xlevels to randomForest objects

AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps

print.yai

Print a summary of a yai object

newtargets

Finds K nearest neighbors for new target observations

compare.yai

Compares different k-NN solutions

plot.compare.yai

Plots a compare.yai object

cor.yai

Correlation between observed and imputed

unionDataJoin

Combines data from several sources

rmsd.yai

Root Mean Square Difference between observed and imputed

vars

List variables in a yai object

foruse

Report a complete imputation

notablyDistant

Find notably distant targets

errorStats

Compute error components of k-NN imputations

mostused

Tabulate references most often used in imputation

yai

Find K nearest neighbors

TallyLake

Tally Lake, Flathead National Forest, Montana, USA

whatsMax

Find maximum column for each row

plot.yai

Plot observed verses imputed data

impute.yai

Impute variables from references to targets

yaiVarImp

Reprots or plots importance scores for method randomForest

yaiRFsummary

Build Summary Data For Method RandomForest

MoscowMtStJoe

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