Package: car 3.1-4
John Fox
car: Companion to Applied Regression
Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Authors:
car_3.1-4.tar.gz
car_3.1-4.zip(r-4.5)car_3.1-4.zip(r-4.4)car_3.1-4.zip(r-4.3)
car_3.1-4.tgz(r-4.4-any)car_3.1-4.tgz(r-4.3-any)
car_3.1-4.tar.gz(r-4.5-noble)car_3.1-4.tar.gz(r-4.4-noble)
car_3.1-4.tgz(r-4.4-emscripten)car_3.1-4.tgz(r-4.3-emscripten)
car.pdf |car.html✨
car/json (API)
NEWS
| # Install 'car' in R: |
| install.packages('car', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/car
Last updated 30 days agofrom:ce1f93970e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-win | OK | Nov 28 2024 |
| R-4.5-linux | OK | Nov 28 2024 |
| R-4.4-win | OK | Nov 28 2024 |
| R-4.4-mac | OK | Nov 28 2024 |
| R-4.3-win | OK | Nov 28 2024 |
| R-4.3-mac | OK | Nov 28 2024 |
Exports:.carEnvadaptiveKernelAnovaav.plotav.plotsavPlotavPlot3davPlotsbasicPowerbasicPowerAxisbcbcnPowerbcnPowerAxisbcnPowerInversebcPowerbcPowerAxisBootbootCasebox.coxbox.cox.powersbox.cox.varbox.tidwellboxCoxboxCox2dboxCoxVariableBoxplotboxTidwellbriefcarHexstickercarPalettecarWebceres.plotceres.plotsceresPlotceresPlotscompareCoefsconfidence.ellipseconfidenceEllipseconfidenceEllipsesConfintcontr.Helmertcontr.Sumcontr.Treatmentcookdcr.plotcr.plotscrpcrPlotcrPlot3dcrPlotsdata.ellipsedataEllipsedbiwtdeltaMethoddensityPlotdepandfbetaPlotsdfbetasPlotsdurbin.watsondurbinWatsonTestdwtellipseExportgamLinehccmIdentify3dImportinfIndexPlotinfluenceIndexPlotinfluencePlotinverseResponsePlotinvResPlotinvTranEstimateinvTranPlotlevene.testleveneTestleverage.plotleverage.plotsleveragePlotleveragePlotslhtlinear.hypothesislinearHypothesislinearHypothesis.defaultloessLinelogitmakeHypothesisManovamarginalModelPlotmarginalModelPlotsmatchCoefsmcPlotmcPlotsmmpmmpsncv.testncvTestnextBootoutlier.testoutlierTestpanel.carpointLabelpoTestpowerTransformPredictprintHypothesisprobabilityAxisqq.plotqqpqqPlotquantregLinerecodeRecoderegLineresidualPlotresidualPlotsSscatter3dscatterplotscatterplotMatrixshowLabelssigmaHatskewPowerslpsomespspmspread.level.plotspreadLevelPlotstrings2factorssubsetssymboxTapplytestTransformvifwcrossprodwhich.nameswhichNamesyjPoweryjPowerAxis
Dependencies:abindbackportsbootbroomcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Anova Tables for Various Statistical Models | Anova Anova.aov Anova.clm Anova.clmm Anova.coxme Anova.coxph Anova.default Anova.glm Anova.lm Anova.lme Anova.manova Anova.mer Anova.merMod Anova.mlm Anova.multinom Anova.polr Anova.rlm Anova.svycoxph Anova.svyglm as.data.frame.univaov Manova Manova.mlm print.Anova.mlm print.summary.Anova.mlm print.univaov summary.Anova.mlm |
| Added-Variable Plots | avp avPlot avPlot.glm avPlot.lm avPlot3d avPlot3d.glm avPlot3d.lm avPlots avPlots.default |
| Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations | basicPower bcnPower bcnPowerInverse bcPower yjPower |
| Bootstrapping for regression models | Boot Boot.default Boot.glm Boot.lm Boot.nls |
| Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family. | boxCox boxCox.bcnPowerTransform boxCox.default boxCox.formula boxCox.lm boxCox2d |
| Constructed Variable for Box-Cox Transformation | boxCoxVariable |
| Boxplots With Point Identification | Boxplot Boxplot.data.frame Boxplot.default Boxplot.formula Boxplot.list Boxplot.matrix |
| Box-Tidwell Transformations | boxTidwell boxTidwell.default boxTidwell.formula print.boxTidwell |
| Print Abbreviated Ouput | brief brief.character brief.data.frame brief.default brief.factor brief.function brief.glm brief.integer brief.list brief.lm brief.matrix brief.multinom brief.numeric brief.polr brief.tbl |
| Defunct Functions in the car Package | av.plot av.plots bc box.cox box.cox.powers box.cox.var box.tidwell car-defunct ceres.plot ceres.plots confidence.ellipse cookd cr.plot cr.plots data.ellipse durbin.watson levene.test leverage.plot leverage.plots linear.hypothesis ncv.test outlier.test qq.plot skewPower spread.level.plot |
| Deprecated Functions in the car Package | bootCase bootCase.glm bootCase.lm bootCase.nls car-deprecated nextBoot nextBoot.lm nextBoot.nls |
| Internal Objects for the 'car' package | .carEnv car-internal.Rd |
| View the Official Hex Sticker for the car Package | carHexsticker |
| Set or Retrieve 'car' Package Color Palette | carPalette |
| Access to the R Companion to Applied Regression Website | carWeb |
| Ceres Plots | ceresPlot ceresPlot.glm ceresPlot.lm ceresPlots ceresPlots.default |
| Print estimated coefficients and their standard errors in a table for several regression models. | compareCoefs |
| Functions to Construct Contrasts | contr.Helmert contr.Sum contr.Treatment Contrasts |
| Component+Residual (Partial Residual) Plots | crp crPlot crPlot.lm crPlot3d crPlot3d.lm crPlots crPlots.default |
| Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients | deltaMethod deltaMethod.coxph deltaMethod.default deltaMethod.lm deltaMethod.lme deltaMethod.lmList deltaMethod.mer deltaMethod.merMod deltaMethod.multinom deltaMethod.nls deltaMethod.polr deltaMethod.survreg |
| Nonparametric Density Estimates | adaptiveKernel dbiwt densityPlot densityPlot.default densityPlot.formula depan |
| dfbeta and dfbetas Index Plots | dfbetaPlots dfbetaPlots.lm dfbetasPlots dfbetasPlots.lm |
| Durbin-Watson Test for Autocorrelated Errors | durbinWatsonTest durbinWatsonTest.default durbinWatsonTest.lm dwt print.durbinWatsonTest |
| Ellipses, Data Ellipses, and Confidence Ellipses | confidenceEllipse confidenceEllipse.default confidenceEllipse.glm confidenceEllipse.lm confidenceEllipse.mlm confidenceEllipses confidenceEllipses.default confidenceEllipses.mlm dataEllipse dataEllipse.default dataEllipse.formula ellipse |
| Export a data frame to disk in one of many formats | Export |
| Heteroscedasticity-Corrected Covariance Matrices | hccm hccm.default hccm.lm |
| Methods Functions to Support 'boot' Objects | Confint.boot confint.boot hist.boot summary.boot vcov.boot |
| Import data from many file formats | Import |
| Influence Index Plot | infIndexPlot infIndexPlot.influence.lme infIndexPlot.influence.merMod infIndexPlot.lm infIndexPlot.lmerMod influenceIndexPlot |
| Influence Diagnostics for Mixed-Effects Models | cooks.distance.influence.lme dfbeta.influence.lme dfbetas.influence.lme influence.lme influence.mixed.models |
| Regression Influence Plot | influence.plot influencePlot influencePlot.lm influencePlot.lmerMod |
| Inverse Response Plots to Transform the Response | inverseResponsePlot inverseResponsePlot.lm invResPlot |
| Choose a Predictor Transformation Visually or Numerically | invTranEstimate invTranPlot invTranPlot.default invTranPlot.formula |
| Levene's Test | leveneTest leveneTest.default leveneTest.formula leveneTest.lm |
| Regression Leverage Plots | leveragePlot leveragePlot.glm leveragePlot.lm leveragePlots |
| Test Linear Hypothesis | lht linearHypothesis linearHypothesis.default linearHypothesis.glm linearHypothesis.lm linearHypothesis.lme linearHypothesis.lmList linearHypothesis.mer linearHypothesis.merMod linearHypothesis.mlm linearHypothesis.nlsList linearHypothesis.polr linearHypothesis.rlm linearHypothesis.survreg linearHypothesis.svyglm makeHypothesis matchCoefs matchCoefs.default matchCoefs.lme matchCoefs.lmList matchCoefs.mer matchCoefs.merMod matchCoefs.mlm print.linearHypothesis.mlm printHypothesis |
| Logit Transformation | logit |
| Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid | mcPlot mcPlot.glm mcPlot.lm mcPlots mcPlots.default |
| Marginal Model Plotting | marginalModelPlot marginalModelPlots mmp mmp.default mmp.glm mmp.lm mmps |
| Score Test for Non-Constant Error Variance | ncvTest ncvTest.glm ncvTest.lm |
| Bonferroni Outlier Test | outlierTest outlierTest.glm outlierTest.lm outlierTest.lmerMod print.outlierTest |
| Panel Function for Coplots | panel.car |
| Label placement for points to avoid overlaps | pointLabel |
| Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model | poTest poTest.polr print.poTest |
| Finding Univariate or Multivariate Power Transformations | powerTransform powerTransform.default powerTransform.formula powerTransform.lm powerTransform.lmerMod |
| Model Predictions | Predict Predict.lm |
| Quantile-Comparison Plot | qqp qqPlot qqPlot.default qqPlot.formula qqPlot.glm qqPlot.lm |
| Recode a Variable | Recode recode |
| Plot Regression Line | regLine |
| Residual Plots for Linear and Generalized Linear Models | residCurvTest residCurvTest.glm residCurvTest.lm residualPlot residualPlot.default residualPlot.glm residualPlot.lm residualPlots residualPlots.default residualPlots.glm residualPlots.lm tukeyNonaddTest |
| Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models | Confint Confint.default Confint.glm Confint.glmerMod Confint.lm Confint.lme Confint.lmerMod Confint.multinom Confint.polr print.S.glm print.S.glmerMod print.S.lm print.S.lme print.S.lmerMod print.S.multinom print.S.polr S S.data.frame S.default S.glm S.glmerMod S.lm S.lme S.lmerMod S.multinom S.polr |
| Three-Dimensional Scatterplots and Point Identification | Identify3d scatter3d scatter3d.default scatter3d.formula |
| Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More | scatterplot scatterplot.default scatterplot.formula sp |
| Scatterplot Matrices | scatterplotMatrix scatterplotMatrix.default scatterplotMatrix.formula spm |
| Smoothers to Draw Lines on Scatterplots | gamLine loessLine quantregLine ScatterplotSmoothers |
| Functions to Identify and Mark Extreme Points in a 2D Plot. | showLabels |
| Return the scale estimate for a regression model | sigmaHat sigmaHat.default sigmaHat.glm sigmaHat.lm |
| Sample a Few Elements of an Object | some some.data.frame some.default some.matrix |
| Spread-Level Plots | print.spreadLevelPlot slp spreadLevelPlot spreadLevelPlot.default spreadLevelPlot.formula spreadLevelPlot.lm |
| Convert Character-String Variables in a Data Frame to Factors | strings2factors strings2factors.data.frame |
| Plot Output from regsubsets Function in leaps package | subsets subsets.regsubsets |
| Boxplots for transformations to symmetry | symbox symbox.default symbox.formula symbox.lm |
| Apply a Function to a Variable Within Factor Levels | Tapply |
| Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality | testTransform testTransform.bcnPowerTransformlmer testTransform.lmerModpowerTransform testTransform.powerTransform |
| Axes for Transformed Variables | basicPowerAxis bcnPowerAxis bcPowerAxis probabilityAxis yjPowerAxis |
| Variance Inflation Factors | vif vif.default vif.lm vif.merMod vif.polr vif.svyolr |
| Weighted Matrix Crossproduct | wcrossprod |
| Position of Row Names | which.names whichNames whichNames.data.frame whichNames.default |
