yaImpute: An R Package for k-NN Imputation

Documentation for package ‘yaImpute’ version 1.0-10

addXlevels	Adds xlevels to randomForest objects
ann	Approximate nearest neighbor search routines
AsciiGridImpute	Imputes/Predicts data for Ascii Grid maps
AsciiGridPredict	Imputes/Predicts data for Ascii Grid maps
compare.yai	Compares different k-NN solutions
cor.yai	Correlation between observed and imputed
errorStats	Compute error components of k-NN imputations
foruse	Report a complete imputation
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
notablyDistant	Find notably distant targets
plot.compare.yai	Plots a compare.yai object
plot.impute.yai	Plot observed verses imputed data
plot.yai	Plot observed verses imputed data
print.yai	Print a summary of a yai object
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
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	Reprots or plots importance scores for method randomForest
yvars	List variables in a yai object