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car (version 3.1-3)
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
314,774
Version
3.1-3
License
GPL (>= 2)
Homepage
https://r-forge.r-project.org/projects/car/
Maintainer
John Fox
Last Published
September 27th, 2024
Functions in car (3.1-3)
Search all functions
brief
Print Abbreviated Ouput
car-defunct
Defunct Functions in the car Package
boxTidwell
Box-Tidwell Transformations
TransformationAxes
Axes for Transformed Variables
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
boxCoxVariable
Constructed Variable for Box-Cox Transformation
avPlots
Added-Variable Plots
Tapply
Apply a Function to a Variable Within Factor Levels
bcPower
Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations
carPalette
Set or Retrieve
car
Package Color Palette
carWeb
Access to the R Companion to Applied Regression Website
ceresPlots
Ceres Plots
carHexsticker
View the Official Hex Sticker for the car Package
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
densityPlot
Nonparametric Density Estimates
compareCoefs
Print estimated coefficients and their standard errors in a table for several regression models.
dfbetaPlots
dfbeta and dfbetas Index Plots
hist.boot
Methods Functions to Support
boot
Objects
leveneTest
Levene's Test
leveragePlots
Regression Leverage Plots
invResPlot
Inverse Response Plots to Transform the Response
durbinWatsonTest
Durbin-Watson Test for Autocorrelated Errors
influencePlot
Regression Influence Plot
influence.mixed.models
Influence Diagnostics for Mixed-Effects Models
hccm
Heteroscedasticity-Corrected Covariance Matrices
infIndexPlot
Influence Index Plot
invTranPlot
Choose a Predictor Transformation Visually or Numerically
logit
Logit Transformation
panel.car
Panel Function for Coplots
pointLabel
Label placement for points to avoid overlaps
ncvTest
Score Test for Non-Constant Error Variance
outlierTest
Bonferroni Outlier Test
linearHypothesis
Test Linear Hypothesis
mmps
Marginal Model Plotting
powerTransform
Finding Univariate or Multivariate Power Transformations
poTest
Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model
mcPlots
Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid
recode
Recode a Variable
regLine
Plot Regression Line
scatterplotMatrix
Scatterplot Matrices
some
Sample a Few Elements of an Object
sigmaHat
Return the scale estimate for a regression model
residualPlots
Residual Plots for Linear and Generalized Linear Models
qqPlot
Quantile-Comparison Plot
symbox
Boxplots for transformations to symmetry
scatter3d
Three-Dimensional Scatterplots and Point Identification
showLabels
Functions to Identify and Mark Extreme Points in a 2D Plot.
scatterplot
Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More
wcrossprod
Weighted Matrix Crossproduct
subsets
Plot Output from regsubsets Function in leaps package
whichNames
Position of Row Names
vif
Variance Inflation Factors
testTransform
Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality
spreadLevelPlot
Spread-Level Plots
strings2factors
Convert Character-String Variables in a Data Frame to Factors
Anova
Anova Tables for Various Statistical Models
Predict
Model Predictions
Boot
Bootstrapping for regression models
Boxplot
Boxplots With Point Identification
Import
Import data from many file formats
ScatterplotSmoothers
Smoothers to Draw Lines on Scatterplots
Export
Export a data frame to disk in one of many formats
Contrasts
Functions to Construct Contrasts
S
Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models
Ellipses
Ellipses, Data Ellipses, and Confidence Ellipses