# car v3.0-5

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## Companion to Applied Regression

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

## Functions in car

Name | Description | |

boxTidwell | Box-Tidwell Transformations | |

ScatterplotSmoothers | Smoothers to Draw Lines on Scatterplots | |

TransformationAxes | Axes for Transformed Variables | |

Tapply | Apply a Function to a Variable Within Factor Levels | |

boxCox | Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family. | |

boxCoxVariable | Constructed Variable for Box-Cox Transformation | |

bcPower | Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations | |

avPlots | Added-Variable Plots | |

brief | Print Abbreviated Ouput | |

car-deprecated | Deprecated Functions in the car Package | |

car-defunct | Defunct Functions in the car Package | |

densityPlot | Nonparametric Density Estimates | |

dfbetaPlots | dfbeta and dfbetas Index Plots | |

car-internal.Rd | Internal Objects for the car package | |

crPlots | Component+Residual (Partial Residual) Plots | |

deltaMethod | Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients | |

carHexsticker | View the Official Hex Sticker for the car Package | |

carWeb | Access to the R Companion to Applied Regression Website | |

carPalette | Set or Retrieve car Package Color Palette | |

invTranPlot | Choose a Predictor Transformation Visually or Numerically | |

invResPlot | Inverse Response Plots to Transform the Response | |

durbinWatsonTest | Durbin-Watson Test for Autocorrelated Errors | |

infIndexPlot | Influence Index Plot | |

hist.boot | Methods Functions to Support boot Objects | |

hccm | Heteroscedasticity-Corrected Covariance Matrices | |

compareCoefs | Print estimated coefficients and their standard errors in a table for several regression models. | |

ceresPlots | Ceres Plots | |

influencePlot | Regression Influence Plot | |

influence.mixed.models | Influence Diagnostics for Mixed-Effects Models | |

leveragePlots | Regression Leverage Plots | |

leveneTest | Levene's Test | |

outlierTest | Bonferroni Outlier Test | |

panel.car | Panel Function for Coplots | |

mmps | Marginal Model Plotting | |

poTest | Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model | |

ncvTest | Score Test for Non-Constant Error Variance | |

mcPlots | Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid | |

qqPlot | Quantile-Comparison Plot | |

powerTransform | Finding Univariate or Multivariate Power Transformations | |

logit | Logit Transformation | |

linearHypothesis | Test Linear Hypothesis | |

recode | Recode a Variable | |

some | Sample a Few Elements of an Object | |

sigmaHat | Return the scale estimate for a regression model | |

showLabels | Functions to Identify and Mark Extreme Points in a 2D Plot. | |

wcrossprod | Weighted Matrix Crossproduct | |

residualPlots | Residual Plots for Linear and Generalized Linear Models | |

scatter3d | Three-Dimensional Scatterplots and Point Identification | |

spreadLevelPlot | Spread-Level Plots | |

whichNames | Position of Row Names | |

regLine | Plot Regression Line | |

vif | Variance Inflation Factors | |

testTransform | Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality | |

scatterplot | Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More | |

scatterplotMatrix | Scatterplot Matrices | |

subsets | Plot Output from regsubsets Function in leaps package | |

symbox | Boxplots for transformations to symmetry | |

Export | Export a data frame to disk in one of many formats | |

Ellipses | Ellipses, Data Ellipses, and Confidence Ellipses | |

S | Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models | |

Contrasts | Functions to Construct Contrasts | |

Boxplot | Boxplots With Point Identification | |

Import | Import data from many file formats | |

Predict | Model Predictions | |

Boot | Bootstrapping for regression models | |

Anova | Anova Tables for Various Statistical Models | |

No Results! |

## Vignettes of car

Name | ||

embedding.Rnw | ||

embedding.bib | ||

No Results! |

## Last month downloads

## Details

Date | 2019-11-15 |

ByteCompile | yes |

LazyLoad | yes |

License | GPL (>= 2) |

URL | https://r-forge.r-project.org/projects/car/, https://CRAN.R-project.org/package=car, http://socserv.socsci.mcmaster.ca/jfox/Books/Companion/index.html |

Repository | CRAN |

Repository/R-Forge/Project | car |

Repository/R-Forge/Revision | 613 |

Repository/R-Forge/DateTimeStamp | 2019-11-15 14:26:32 |

Date/Publication | 2019-11-15 16:30:02 UTC |

NeedsCompilation | no |

Packaged | 2019-11-15 14:50:34 UTC; rforge |

imports | abind , graphics , grDevices , lme4 , maptools , MASS , mgcv , nlme , nnet , pbkrtest (>= 0.4-4) , quantreg , rio , stats , utils |

suggests | alr4 , boot , coxme , leaps , lmtest , Matrix , MatrixModels , rgl (>= 0.93.960) , sandwich , SparseM , survey , survival |

depends | carData (>= 3.0-0) , R (>= 3.5.0) |

Contributors | Steve Ellison, Duncan Murdoch, Sanford Weisberg, David Firth, Brian Ripley, Ben Bolker, Michael Friendly, Richard Heiberger, Douglas Bates, Achim Zeileis, Steve Walker, Spencer Graves, David Winsemius, R-Core, William Venables, Gregor Gorjanc, Rafael Laboissiere, Georges Monette, Henric Nilsson, Derek Ogle, Daniel Adler, Gabriel Baud-Bovy, Martin Maechler, Pavel Krivitsky, Brad Price |

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