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yaImpute (version 0.0-1)

Performs popular nearest neighbor routines

Description

Performs popular nearest neighbor routines

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Version

Install

install.packages('yaImpute')

Monthly Downloads

4,669

Version

0.0-1

License

Function ann and all the code in src except rfoneprox.cpp is covered by Lesser GNU Public License (LGPL). Otherwise, 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.

Maintainer

Andrew Finley

Last Published

September 21st, 2024

Functions in yaImpute (0.0-1)

errorStats

Compute error components of k-NN imputations
impute.yai

Impute variables from references to targets
rmsd.yai

Root Mean Square Difference between observed and imputed
whatsMax

Find maximum column for each row
cor.yai

Correlation between observed and imputed
yai

Find K nearest neighbors
yaiRFsummary

Build Summary Data For Method RandomForest
AsciiGridImpute

Imputes/Predicts data for Ascii Grid maps
vars

List variables in a yai object
MoscowMtStJoe

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

Combines data from several sources
mostused

Tabulate references most often used in imputation
foruse

Report a complete imputation
TallyLake

Tally Lake, Flathead National Forest, Montana, USA
addXlevels

Adds xlevels to randomForest objects
ann

Approximate nearest neighbor search routines
plot.compare.yai

Plots a compare.yai object
compare.yai

Compares different k-NN solutions
plot.yai

Plot observed verses imputed data
yaiVarImp

Plots Gini importance scores for method randomForest
newtargets

Finds K nearest neighbors for new target observations
notablyDistant

Find notably distant targets
print.yai

Print a summary of a yai object