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yaImpute (version 1.0-3)

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

3,388

Version

1.0-3

License

GPL (>= 2) (also see COPYRIGHTS file)

Maintainer

Andrew Finley

Last Published

September 21st, 2024

Functions in yaImpute (1.0-3)

yai

Find K nearest neighbors

TallyLake

Tally Lake, Flathead National Forest, Montana, USA

plot.compare.yai

Plots a compare.yai object

impute.yai

Impute variables from references to targets

compare.yai

Compares different k-NN solutions

MoscowMtStJoe

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

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

mostused

Tabulate references most often used in imputation

whatsMax

Find maximum column for each row

plot.yai

Plot observed verses imputed data

vars

List variables in a yai object

print.yai

Print a summary of a yai object

errorStats

Compute error components of k-NN imputations

AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps

ann

Approximate nearest neighbor search routines

foruse

Report a complete imputation

cor.yai

Correlation between observed and imputed

newtargets

Finds K nearest neighbors for new target observations

notablyDistant

Find notably distant targets

unionDataJoin

Combines data from several sources

addXlevels

Adds xlevels to randomForest objects