ann | Approximate nearest neighbor search routines |
applyMask | Removes neighbors that share (or not) group membership with... |
asciigridimpute | 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 |
correctbias | Correct bias by selecting different near neighbors |
cor.yai | Correlation between observed and imputed |
ensembleImpute | Computes the mean, median, or mode among a list of impute.yai... |
errorStats | Compute error components of k-NN imputations |
foruse | Report a complete imputation |
grmsd | Generalized Root Mean Square Distance Between Observed and... |
impute.yai | Impute variables from references to targets |
MoscowMtStJoe | Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and... |
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... |
notablydistant | Find notably distant targets |
plot.compare.yai | Plots a compare.yai object |
plot.notablydifferent | Plots the scaled root mean square differences between... |
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 a summary of a yai object | |
rmsd.yai | Root Mean Square Difference between observed and imputed |
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 |
yai | Find K nearest neighbors |
yaiRFsummary | Build Summary Data For Method RandomForest |
yaiVarImp | Reports or plots importance scores for yai method... |
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