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yaImpute (version 0.0-3)

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

0.0-3

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 (0.0-3)

yai

Find K nearest neighbors
errorStats

Compute error components of k-NN imputations
plot.compare.yai

Plots a compare.yai object
AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps
plot.yai

Plot observed verses imputed data
notablyDistant

Find notably distant targets
unionDataJoin

Combines data from several sources
vars

List variables in a yai object
impute.yai

Impute variables from references to targets
TallyLake

Tally Lake, Flathead National Forest, Montana, USA
newtargets

Finds K nearest neighbors for new target observations
yaiRFsummary

Build Summary Data For Method RandomForest
rmsd.yai

Root Mean Square Difference between observed and imputed
compare.yai

Compares different k-NN solutions
mostused

Tabulate references most often used in imputation
foruse

Report a complete imputation
MoscowMtStJoe

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

Plots Gini importance scores for method randomForest
addXlevels

Adds xlevels to randomForest objects
ann

Approximate nearest neighbor search routines
whatsMax

Find maximum column for each row
cor.yai

Correlation between observed and imputed
print.yai

Print a summary of a yai object