regtools-package {regtools} | R Documentation |
Overview and Package Reference Guide
Description
This package provides a broad collection of functions useful for regression and classification analysis, and machine learning.
Function List
Parametric modeling:
nonlinear regression: nlshc
ridge regression: ridgelm, plot
missing values (also see our toweranNA package): lmac,makeNA,coef.lmac,vcov.lmac,pcac
Diagnostic plots:
regression diagnostics: parvsnonparplot, nonparvsxplot, nonparvarplot
other: boundaryplot, nonparvsxplot
Classification:
unbalanced data: classadjust (see UnbalancedClasses.md)
All vs. All: avalogtrn, avalogpred
k-NN reweighting: exploreExpVars, plotExpVars, knnFineTune
Machine learning (also see qeML package):
k-NN: kNN, kmin, knnest, knntrn, preprocessx, meany, vary, loclin, predict, kmin, pwplot, bestKperPoint, knnFineTune
neural networks: krsFit,multCol
advanced grid search: fineTuning, fineTuningPar, plot.tuner, knnFineTune
loss: l1, l2, MAPE, ROC
Dummies and R factors Utilities:
conversion between factors and dummies: dummiesToFactor, dummiesToInt, factorsToDummies, factorToDummies, factorTo012etc, dummiesToInt, hasFactors, charsToFactors, makeAllNumeric
dealing with superset and subsets of factors: toSuperFactor, toSubFactor
Statistics:
mm
Matrix:
multCols, constCols
Time series:
convert rectangular to TS: TStoX
Text processing:
textToXY
Misc.:
scaling: mmscale, unscale
data frames: catDFRow, tabletofakedf
R: getNamedArgs, ulist
discretize