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car (version 3.0-12)
Companion to Applied Regression
Description
Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
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Install
install.packages('car')
Monthly Downloads
596,351
Version
3.0-12
License
GPL (>= 2)
Homepage
https://r-forge.r-project.org/projects/car/
Maintainer
John Fox
Last Published
November 6th, 2021
Functions in car (3.0-12)
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Import
Import data from many file formats
Boxplot
Boxplots With Point Identification
ScatterplotSmoothers
Smoothers to Draw Lines on Scatterplots
S
Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models
Anova
Anova Tables for Various Statistical Models
Predict
Model Predictions
Contrasts
Functions to Construct Contrasts
Export
Export a data frame to disk in one of many formats
Boot
Bootstrapping for regression models
car-defunct
Defunct Functions in the car Package
Ellipses
Ellipses, Data Ellipses, and Confidence Ellipses
boxCoxVariable
Constructed Variable for Box-Cox Transformation
boxCox
Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family.
car-deprecated
Deprecated Functions in the car Package
brief
Print Abbreviated Ouput
boxTidwell
Box-Tidwell Transformations
car-internal.Rd
Internal Objects for the
car
package
carHexsticker
View the Official Hex Sticker for the car Package
bcPower
Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations
deltaMethod
Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients
avPlots
Added-Variable Plots
crPlots
Component+Residual (Partial Residual) Plots
ceresPlots
Ceres Plots
compareCoefs
Print estimated coefficients and their standard errors in a table for several regression models.
carWeb
Access to the R Companion to Applied Regression Website
carPalette
Set or Retrieve
car
Package Color Palette
hccm
Heteroscedasticity-Corrected Covariance Matrices
durbinWatsonTest
Durbin-Watson Test for Autocorrelated Errors
invResPlot
Inverse Response Plots to Transform the Response
invTranPlot
Choose a Predictor Transformation Visually or Numerically
influencePlot
Regression Influence Plot
influence.mixed.models
Influence Diagnostics for Mixed-Effects Models
hist.boot
Methods Functions to Support
boot
Objects
infIndexPlot
Influence Index Plot
leveragePlots
Regression Leverage Plots
densityPlot
Nonparametric Density Estimates
leveneTest
Levene's Test
TransformationAxes
Axes for Transformed Variables
dfbetaPlots
dfbeta and dfbetas Index Plots
Tapply
Apply a Function to a Variable Within Factor Levels
panel.car
Panel Function for Coplots
mmps
Marginal Model Plotting
poTest
Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model
qqPlot
Quantile-Comparison Plot
powerTransform
Finding Univariate or Multivariate Power Transformations
mcPlots
Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid
logit
Logit Transformation
linearHypothesis
Test Linear Hypothesis
ncvTest
Score Test for Non-Constant Error Variance
outlierTest
Bonferroni Outlier Test
regLine
Plot Regression Line
residualPlots
Residual Plots for Linear and Generalized Linear Models
scatterplotMatrix
Scatterplot Matrices
sigmaHat
Return the scale estimate for a regression model
scatterplot
Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More
showLabels
Functions to Identify and Mark Extreme Points in a 2D Plot.
spreadLevelPlot
Spread-Level Plots
symbox
Boxplots for transformations to symmetry
recode
Recode a Variable
some
Sample a Few Elements of an Object
strings2factors
Convert Character-String Variables in a Data Frame to Factors
scatter3d
Three-Dimensional Scatterplots and Point Identification
subsets
Plot Output from regsubsets Function in leaps package
vif
Variance Inflation Factors
wcrossprod
Weighted Matrix Crossproduct
whichNames
Position of Row Names
testTransform
Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality