# Nearest Neighbor Observation Imputation and Evaluation Tools

## Documentation for package ‘yaImpute’ version 1.0-32

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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 obervations 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