Nearest Neighbor Observation Imputation and Evaluation Tools

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Documentation for package ‘yaImpute’ version 1.0-34

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ann Approximate nearest neighbor search routines
applyMask Removes neighbors that share (or not) group membership with targets.
AsciiGridImpute Imputes/Predicts data for Ascii Grid maps
AsciiGridPredict Imputes/Predicts data for Ascii Grid maps
bestVars Computes the number of _best_ X-variables
buildConsensus Finds the consensus imputations among a list of yai objects
compare.yai Compares different k-NN solutions
cor.yai Correlation between observed and imputed
correctBias Correct bias by selecting different near neighbors
ensembleImpute Computes the mean, median, or mode among a list of impute.yai objects
errorStats Compute error components of k-NN imputations
foruse Report a complete imputation
grmsd Generalized Root Mean Square Distance Between Observed and Imputed Values
impute Impute variables from references to targets
impute.yai Impute variables from references to targets
MoscowMtStJoe Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data
mostused Tabulate references most often used in imputation
newtargets Finds K nearest neighbors for new target observations
notablyDifferent Finds observations with large differences between observed and imputed values
notablyDistant Find notably distant targets
plot.compare.yai Plots a compare.yai object
plot.impute.yai Plot observed verses imputed data
plot.notablyDifferent Plots the scaled root mean square differences between observed and predicted
plot.varSel Boxplot of mean Mahalanobis distances from varSelection()
plot.yai Plot observed verses imputed data
predict.yai Generic predict function for class yai
print.yai Print a summary of a yai object
rmsd Root Mean Square Difference between observed and imputed
rmsd.yai Root Mean Square Difference between observed and imputed
summary.yai Print a summary of a yai object
TallyLake Tally Lake, Flathead National Forest, Montana, USA
unionDataJoin Combines data from several sources
vars List variables in a yai object
varSelection Select variables for imputation models
whatsMax Find maximum column for each row
xvars List variables in a yai object
yai Find K nearest neighbors
yaImpute Find K nearest neighbors
yaiRFsummary Build Summary Data For Method RandomForest
yaiVarImp Reports or plots importance scores for yai method randomForest
yvars List variables in a yai object