Displayr/flipRegression
Estimates standard regression models

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Displayr/flipRegression: Estimates standard regression models
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API

API for Displayr/flipRegression
Estimates standard regression models

Global functions
AIC.Regression Source code
Accuracy Man page Source code
ConfusionMatrix Man page Source code
ConfusionMatrix.data.frame Source code
ConfusionMatrix.default Source code
ConfusionMatrixFromVariables Man page Source code
ConfusionMatrixFromVariablesNumeric Man page Source code
CooksDistance Man page Source code
DurbinWatson Man page Source code
EffectsPlot Man page Source code
ExtractChartData Man page
ExtractChartData.ConfusionMatrix Source code
ExtractChartData.Regression Source code
FitRegression Man page Source code
FittedAndObserved Man page Source code
FixVarianceCovarianceMatrix Man page Source code
GoodnessOfFit Man page Source code
GoodnessOfFit.Regression Man page Source code
GoodnessOfFit.default Man page Source code
GoodnessOfFitInternal Man page Source code
GoodnessOfFitPlot Man page
GoodnessOfFitPlot.Regression Man page Source code
GrandMean Man page Source code
HatValues Man page Source code
LinearRegressionFromCorrelations Man page Source code
McFaddensRhoSquared Man page Source code
MultipleImputationCoefficientTable Man page Source code
Observed.FitRegression Man page Source code
Observed.Regression Man page Source code
OutlierTest Man page Source code
PValueAdjustFDR Man page Source code
PredictionPlot Man page Source code
Probabilities Man page
Probabilities.Regression Source code
Regression Man page Source code
Stepwise Man page Source code
UnusualObservations Man page Source code
WarningFactorToNumeric Source code
addBackNamesIfNecessary Source code
addLabelAttribute Source code
adjustDataMissingDummy Source code
aliasedDummyVariableWarning Source code
aliasedPredictorWarning Source code
allEffects.Regression Source code
appendAliasedToPolrSummary Source code
appendDummyAdjustmentsToTemplate Source code
appendStackedCasesRemoved Source code
appendStatistics Source code
betasFromCorrelations Source code
checkAcceptableModel Source code
checkAutomaterOutlierRemovalSetting Source code
checkBinaryVariableNoVariation Source code
checkDataFeasibleForStacking Source code
checkForNonSyntacticNames Source code
checkListStructure Source code
checkNumberObservations Source code
checkStackAlignment Source code
checkVIFAndWarn Source code
checkVariableIsBinary Source code
checkVariablesForDataSetNames Source code
coef.Regression Source code
coefNamesBeforeOmitting Source code
compareCoef Source code
computeAutomatedResiduals Source code
computeBinaryLogitResiduals Source code
computeCorrelationImportance Source code
computeInteractionCrosstab Source code
computeJaccardCoefficients Source code
computeJaccardImportance Source code
computeOrderedLogitResiduals Source code
computePoissonEsqueProbabilities Source code
computeShapleyImportance Source code
confusionMatrixHelper Source code
cooks.distance.Regression Man page Source code
createRegressionDataTable Source code
createSuitableFormulaForJaccard Source code
dataFrameToVariableIfAppropriate Man page Source code
determineAliased Source code
df.residual.Regression Source code
df.residual.RegressionCorrelations Source code
df.residual.multinom Source code
diagnosticTestFromCar Source code
dummyAdjustment Source code
estimateImportance Source code
estimateRelativeImportance Source code
extractAIC.Regression Source code
extractDummyAdjustedCoefs Source code
extractDummyNames Source code
extractFirstRowMatrixToNumeric Source code
extractNumericX Source code
extractRegressionInfo Source code
extractVariableCoefficients Source code
extractVariableStandardErrors Source code
fillInMissingRowNames Source code
findAppropriateStartingValueForOrderedLogit Source code
findNonOutlierObservations Source code
fitModel Source code
fitOrderedLogit Source code
fitted.Regression Source code
fitted.values.Regression Source code
flagCodeframeReduction Source code
getGridNames Source code
getModelType Source code
getMultiOutcomeNames Source code
hasNoVariation Source code
hatvalues.Regression Source code
importanceFooter Source code
infIndexPlot.Regression Man page Source code
influenceIndexPlot.Regression Source code
influencePlot.Regression Source code
inverseBootstrap Source code
isDummyVariable Source code
isFormula Source code
isTStatisticUsed Source code
isWeightedModel Source code
issvyglm Source code
jaccardTest Source code
logLik.Regression Source code
lookupDataSetNames Source code
makeConfusionMatrixSymmetrical Source code
multipleImputationCrosstabInteraction Source code
multipleImputationDegreesOfFreedom Source code
multipleImputationImportance Source code
multipleImputationStandardErrors Source code
ncvTest.Regression Man page Source code
nobs.Regression Source code
notValidForCrosstabInteraction Man page Source code
notValidForPartial Man page Source code
nullDeviance Source code
numberObservations Source code
numberParameters Source code
outcomeVariableFromModel Source code
outlierTest.Regression Source code
plot.Regression Source code
predict.Regression Source code
print.Anova Man page Source code
print.ConfusionMatrix Man page Source code
print.DurbinWatson Man page Source code
print.Regression Source code
print.RegressionCorrelationsSummary Source code
print.Stepwise Source code
probabilities Man page Source code
processAndStackData Source code
processDataSuitableForJaccard Source code
pvalAdjust Source code
reduceOutputSize Source code
reexports Man page
refitModelWithoutOutliers Source code
regressionFooter Source code
regressionFromCorrelations Source code
regressionType Source code
relabelFormulaAndData Source code
removeDataReduction Source code
removeDataSetReferences Source code
removeDataThatAreOutliersFromLinearRegression Source code
removeMissingVariables Source code
removeReshapingHelperVariables Source code
resid.Regression Source code
residualPlots.Regression Man page Source code
residuals.Regression Source code
setChartData Source code
shapleyImportance Source code
signsWarning Source code
singleJaccardCoefficient Source code
singleJaccardExpectation Source code
stackData Source code
stackOutcome Source code
stackPredictors Source code
stopIfNotCount Source code
stopNotCount Source code
subsetDataWeightsAndFormula Source code
summary.RegressionCorrelations Man page Source code
technology.unstacked Man page
throwAliasedExceptionImportanceAnalysis Source code
throwCodeReductionWarning Source code
throwErrorInvalidArgument Source code
throwRIAException Source code
tidyRegressionCoefficients Source code
tidySummary Source code
unstandardizeBetas Source code
updateAliasedModel Source code
updateAttribute Source code
updateDummyVariableFormulae Source code
updateStackedFormula Source code
validGridPredictor Source code
validMultiOutcome Source code
validateDataForRIA Source code
validateDataForStacking Source code
validateFormulaArgument Source code
validateMissingValueArgument Source code
validateNamesInGrid Source code
validateOutcomeVariables Source code
validateOutlierRemovalArgument Source code
validatePredictorVariables Source code
validateRegressionArg Source code
validateRegressionArguments Source code
validateRegressionTypeArgument Source code
validateRobustStandardErrorsArgument Source code
validateStatisticalAssumptionsArgument Source code
validateVariablesHaveVariation Source code
variablesNotBinaryMessage Source code
vcov.FitRegression Man page Source code
vcov.Regression Man page Source code
vcov2 Source code
warningNotOrdered Source code
warningPredictorVariableDoesNotExist Source code
warningRobustInappropriate Source code
warningSampleSizeTooSmall Source code
weightedZScores Source code
Displayr/flipRegression documentation built on March 2, 2024, 3:51 a.m.

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