A B C D E F G H K L M N O P Q R S T U V W X Y Z
regtools-package | Overview and Package Reference Guide |
allNumeric | Miscellaneous Utilities |
avalogpred | Classification with More Than 2 Classes |
avalogtrn | Classification with More Than 2 Classes |
bestKperPoint | k-NN Nonparametric Regression and Classification |
boundaryplot | Classification with More Than 2 Classes |
catDFRow | Miscellaneous Utilities |
charsToFactors | Factor Conversion Utilities |
classadjust | Classification with More Than 2 Classes |
coef.lmac | Available Cases Method for Missing Data |
confusion | Classification with More Than 2 Classes |
constCols | Miscellaneous Utilities |
courseRecords | Records from several offerings of a certain course. |
currency | Pre-Euro Era Currency Fluctuations |
day | Bike sharing data. |
day1 | Bike sharing data. |
day2 | Bike sharing data. |
diagNeural | Tools for Neural Networks |
discretize | Factor Conversion Utilities |
doPCA | Utilities |
dummiesToFactor | Factor Conversion Utilities |
dummiesToInt | Factor Conversion Utilities |
english | English vocabulary data |
exploreExpVars | k-NN Nonparametric Regression and Classification |
factorsToDummies | Factor Conversion Utilities |
factorTo012ec | Classification with More Than 2 Classes |
factorTo012etc | Factor Conversion Utilities |
factorToDummies | Factor Conversion Utilities |
falldetection | Fall Detection Data |
findOverallLoss | Utilities |
fineTuning | Grid Search Plus More |
fineTuningPar | Grid Search Plus More |
getDFclasses | Factor Conversion Utilities |
getNamedArgs | Utilities |
hasCharacters | Factor Conversion Utilities |
hasFactors | Factor Conversion Utilities |
kmin | k-NN Nonparametric Regression and Classification |
kNN | k-NN Nonparametric Regression and Classification |
kNNallK | k-NN Nonparametric Regression and Classification |
knnest | k-NN Nonparametric Regression and Classification |
knnFineTune | Grid Search Plus More |
knntrn | k-NN Nonparametric Regression and Classification |
kNNxv | k-NN Nonparametric Regression and Classification |
krsFit | Tools for Neural Networks |
krsFitImg | Tools for Neural Networks |
l1 | k-NN Nonparametric Regression and Classification |
l2 | k-NN Nonparametric Regression and Classification |
lmac | Available Cases Method for Missing Data |
loclin | k-NN Nonparametric Regression and Classification |
loclogit | k-NN Nonparametric Regression and Classification |
loglinac | Available Cases Method for Missing Data |
ltrfreqs | Letter Frequencies |
makeNA | Available Cases Method for Missing Data |
MAPE | k-NN Nonparametric Regression and Classification |
meany | k-NN Nonparametric Regression and Classification |
mediany | k-NN Nonparametric Regression and Classification |
mlb | Major Leage Baseball player data set. |
mlens | MovieLens User Summary Data |
mm | Method of Moments, Including Possible Regression Terms |
mmscale | Miscellaneous Utilities |
multCols | Utilities |
NAsTo0s | Available Cases Method for Missing Data |
newAdult | UCI adult income data set, adapted |
newadult | UCI adult income data set, adapted |
nlshc | Heteroscedastic Nonlinear Regression |
nonparvarplot | k-NN Nonparametric Regression and Classification |
nonparvsxplot | k-NN Nonparametric Regression and Classification |
oliveoils | Italian olive oils data set. |
ovaknntrn | Classification with More Than 2 Classes |
ovalogpred | Classification with More Than 2 Classes |
ovalogtrn | Classification with More Than 2 Classes |
partTrnTst | Utilities |
parvsnonparplot | k-NN Nonparametric Regression and Classification |
pcac | Available Cases Method for Missing Data |
PCAwithFactors | Utilities |
peDumms | Silicon Valley programmers and engineers data |
pef | Silicon Valley programmers and engineers data |
peFactors | Silicon Valley programmers and engineers data |
penroseLM | Penrose-Inverse Linear Models and Polynomial Regression |
penrosePoly | Penrose-Inverse Linear Models and Polynomial Regression |
phoneme | Phoneme Data |
plot.rlm | Ridge Regression |
plot.tuner | Grid Search Plus More |
plotExpVars | k-NN Nonparametric Regression and Classification |
predict.knn | k-NN Nonparametric Regression and Classification |
predict.krsFit | Tools for Neural Networks |
predict.ovaknn | Classification with More Than 2 Classes |
predict.penroseLM | Penrose-Inverse Linear Models and Polynomial Regression |
predict.penrosePoly | Penrose-Inverse Linear Models and Polynomial Regression |
preprocessx | k-NN Nonparametric Regression and Classification |
prgeng | Silicon Valley programmers and engineers data |
probIncorrectClass | Utilities |
propMisclass | Utilities |
prToFile | Utilities |
pythonBlankSplit | Utilities |
quizDocs | Course quiz documents |
quizzes | Course quiz documents |
regtools | Overview and Package Reference Guide |
replicMeans | Utilities |
ridgelm | Ridge Regression |
ridgePoly | Penrose-Inverse Linear Models and Polynomial Regression |
stdErrPred | Utilities |
stopBrowser | Utilities |
sw | Swiss Roll |
SwissRoll | Swiss Roll |
tbltofakedf | Available Cases Method for Missing Data |
textToXY | Tools for Text Classification |
textToXYpred | Tools for Text Classification |
toAllNumeric | Factor Conversion Utilities |
toSubFactor | Factor Conversion Utilities |
toSuperFactor | Factor Conversion Utilities |
TStoX | Transform Time Series to Rectangular Form |
TStoXmv | Transform Time Series to Rectangular Form |
ulist | Utilities |
unscale | Miscellaneous Utilities |
vary | k-NN Nonparametric Regression and Classification |
vcov.lmac | Available Cases Method for Missing Data |
weatherTS | Weather Time Series |
xyDataframeToMatrix | Factor Conversion Utilities |
xyzPlot | Misc. Graphics |
yell10k | New York Taxi Data |
ZerosToNAs | Available Cases Method for Missing Data |