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yaImpute (version 1.0-14)
yaImpute: An R Package for k-NN Imputation
Description
Performs popular nearest neighbor routines for imputation
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Install
install.packages('yaImpute')
Monthly Downloads
4,364
Version
1.0-14
License
GPL (>= 2)
Maintainer
Nicholas Crookston
Last Published
March 2nd, 2011
Functions in yaImpute (1.0-14)
Search functions
AsciiGridImpute
Imputes/Predicts data for Ascii Grid maps
ann
Approximate nearest neighbor search routines
addXlevels
Adds xlevels to randomForest objects
mostused
Tabulate references most often used in imputation
TallyLake
Tally Lake, Flathead National Forest, Montana, USA
MoscowMtStJoe
Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data
foruse
Report a complete imputation
plot.compare.yai
Plots a compare.yai object
cor.yai
Correlation between observed and imputed
yai
Find K nearest neighbors
plot.yai
Plot observed verses imputed data
errorStats
Compute error components of k-NN imputations
compare.yai
Compares different k-NN solutions
vars
List variables in a yai object
impute.yai
Impute variables from references to targets
rmsd.yai
Root Mean Square Difference between observed and imputed
yaiRFsummary
Build Summary Data For Method RandomForest
yaiVarImp
Reprots or plots importance scores for method randomForest
whatsMax
Find maximum column for each row
unionDataJoin
Combines data from several sources
notablyDistant
Find notably distant targets
print.yai
Print a summary of a yai object
newtargets
Finds K nearest neighbors for new target observations