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yaImpute (version 0.0-4)

yaImpute: An R Package for k-NN Imputation

Description

Performs popular nearest neighbor routines

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Version

Install

install.packages('yaImpute')

Monthly Downloads

4,669

Version

0.0-4

License

Except as noted, this package was written and prepared by U.S. Government employees on official time and therefore is in the public domain and not subject to copyright. Function ann and all the code in src except rfoneprox.cpp is covered by Lesser GNU Public License (LGPL). Functions directly modified from packages randomForest and vegan carry the license provisions from the respective packages.

Maintainer

Andrew Finley

Last Published

September 21st, 2024

Functions in yaImpute (0.0-4)

errorStats

Compute error components of k-NN imputations
cor.yai

Correlation between observed and imputed
impute.yai

Impute variables from references to targets
plot.compare.yai

Plots a compare.yai object
notablyDistant

Find notably distant targets
TallyLake

Tally Lake, Flathead National Forest, Montana, USA
newtargets

Finds K nearest neighbors for new target observations
whatsMax

Find maximum column for each row
foruse

Report a complete imputation
AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps
yaiRFsummary

Build Summary Data For Method RandomForest
rmsd.yai

Root Mean Square Difference between observed and imputed
MoscowMtStJoe

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

Adds xlevels to randomForest objects
mostused

Tabulate references most often used in imputation
vars

List variables in a yai object
plot.yai

Plot observed verses imputed data
yaiVarImp

Plots Gini importance scores for method randomForest
print.yai

Print a summary of a yai object
ann

Approximate nearest neighbor search routines
compare.yai

Compares different k-NN solutions
unionDataJoin

Combines data from several sources
yai

Find K nearest neighbors