Package: car 3.1-5

car: Companion to Applied Regression

Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.

Authors:John Fox [aut], Sanford Weisberg [aut], Brad Price [aut, cre], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [ctb], Richard Heiberger [ctb], Pavel Krivitsky [ctb], Rafael Laboissiere [ctb], Martin Maechler [ctb], Georges Monette [ctb], Duncan Murdoch [ctb], Henric Nilsson [ctb], Derek Ogle [ctb], Iain Proctor [ctb], Brian Ripley [ctb], Tom Short [ctb], William Venables [ctb], Steve Walker [ctb], David Winsemius [ctb], Achim Zeileis [ctb], R-Core [ctb]

car_3.1-5.tar.gz
car_3.1-5.zip(r-4.7)car_3.1-5.zip(r-4.6)car_3.1-5.zip(r-4.5)
car_3.1-5.tgz(r-4.6-any)car_3.1-5.tgz(r-4.5-any)
car_3.1-5.tar.gz(r-4.7-any)car_3.1-5.tar.gz(r-4.6-any)
car_3.1-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
car/json (API)

# Install 'car' in R:

install.packages('car', repos = c('https://bprice2652.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bprice2652/car_repo/issues

On CRAN:

13.95 score 10 stars 1.0k packages 62k scripts 461k downloads 1.7k mentions 140 exports 67 dependencies

Last updated from:6dd8b5e1e4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	197
source / vignettes	OK	264
linux-release-x86_64	OK	186
macos-release-arm64	OK	93
macos-oldrel-arm64	OK	115
windows-devel	OK	133
windows-release	OK	130
windows-oldrel	OK	118
wasm-release	OK	167

Exports:.carEnv adaptiveKernel Anova av.plot av.plots avPlot avPlot3d avPlots basicPower basicPowerAxis bc bcnPower bcnPowerAxis bcnPowerInverse bcPower bcPowerAxis Boot bootCase box.cox box.cox.powers box.cox.var box.tidwell boxCox boxCox2d boxCoxVariable Boxplot boxTidwell brief carHexsticker carPalette carWeb ceres.plot ceres.plots ceresPlot ceresPlots compareCoefs confidence.ellipse confidenceEllipse confidenceEllipses Confint contr.Helmert contr.Sum contr.Treatment cookd cr.plot cr.plots crp crPlot crPlot3d crPlots data.ellipse dataEllipse dbiwt deltaMethod densityPlot depan dfbetaPlots dfbetasPlots durbin.watson durbinWatsonTest dwt ellipse Export gamLine hccm Identify3d Import infIndexPlot influenceIndexPlot influencePlot inverseResponsePlot invResPlot invTranEstimate invTranPlot levene.test leveneTest leverage.plot leverage.plots leveragePlot leveragePlots lht linear.hypothesis linearHypothesis linearHypothesis.default loessLine logit makeHypothesis Manova marginalModelPlot marginalModelPlots matchCoefs mcPlot mcPlots mmp mmps ncv.test ncvTest nextBoot outlier.test outlierTest panel.car pointLabel poTest powerTransform Predict printHypothesis probabilityAxis qq.plot qqp qqPlot quantregLine recode Recode regLine residualPlot residualPlots S scatter3d scatterplot scatterplotMatrix showLabels sigmaHat skewPower slp some sp spm spread.level.plot spreadLevelPlot strings2factors subsets symbox Tapply testTransform vif wcrossprod which.names whichNames yjPower yjPowerAxis

Dependencies:abind backports boot broom carData cli colorspace cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Using car functions inside user functions

Rendered fromembedding.Rnwusingutils::Sweave

Last update: 2021-06-27
Started: 2013-09-18

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

Package: car 3.1-5

car: Companion to Applied Regression

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)