| 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 |