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car (version 3.0-7)
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
564,208
Version
3.0-7
License
GPL (>= 2)
Homepage
https://r-forge.r-project.org/projects/car/
Maintainer
John Fox
Last Published
March 11th, 2020
Functions in car (3.0-7)
Search functions
Ellipses
Ellipses, Data Ellipses, and Confidence Ellipses
Import
Import data from many file formats
Predict
Model Predictions
bcPower
Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations
car-defunct
Defunct Functions in the car Package
avPlots
Added-Variable Plots
carHexsticker
View the Official Hex Sticker for the car Package
ScatterplotSmoothers
Smoothers to Draw Lines on Scatterplots
Export
Export a data frame to disk in one of many formats
car-internal.Rd
Internal Objects for the
car
package
hist.boot
Methods Functions to Support
boot
Objects
S
Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models
car-deprecated
Deprecated Functions in the car Package
Boot
Bootstrapping for regression models
carWeb
Access to the R Companion to Applied Regression Website
Anova
Anova Tables for Various Statistical Models
infIndexPlot
Influence Index Plot
powerTransform
Finding Univariate or Multivariate Power Transformations
qqPlot
Quantile-Comparison Plot
Tapply
Apply a Function to a Variable Within Factor Levels
boxCoxVariable
Constructed Variable for Box-Cox Transformation
Boxplot
Boxplots With Point Identification
boxCox
Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family.
carPalette
Set or Retrieve
car
Package Color Palette
influence.mixed.models
Influence Diagnostics for Mixed-Effects Models
TransformationAxes
Axes for Transformed Variables
ceresPlots
Ceres Plots
Contrasts
Functions to Construct Contrasts
spreadLevelPlot
Spread-Level Plots
influencePlot
Regression Influence Plot
invResPlot
Inverse Response Plots to Transform the Response
boxTidwell
Box-Tidwell Transformations
invTranPlot
Choose a Predictor Transformation Visually or Numerically
brief
Print Abbreviated Ouput
logit
Logit Transformation
wcrossprod
Weighted Matrix Crossproduct
compareCoefs
Print estimated coefficients and their standard errors in a table for several regression models.
whichNames
Position of Row Names
densityPlot
Nonparametric Density Estimates
linearHypothesis
Test Linear Hypothesis
testTransform
Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality
crPlots
Component+Residual (Partial Residual) Plots
deltaMethod
Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients
hccm
Heteroscedasticity-Corrected Covariance Matrices
durbinWatsonTest
Durbin-Watson Test for Autocorrelated Errors
scatterplot
Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More
scatterplotMatrix
Scatterplot Matrices
mcPlots
Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid
some
Sample a Few Elements of an Object
ncvTest
Score Test for Non-Constant Error Variance
leveneTest
Levene's Test
mmps
Marginal Model Plotting
vif
Variance Inflation Factors
poTest
Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model
dfbetaPlots
dfbeta and dfbetas Index Plots
residualPlots
Residual Plots for Linear and Generalized Linear Models
leveragePlots
Regression Leverage Plots
sigmaHat
Return the scale estimate for a regression model
recode
Recode a Variable
showLabels
Functions to Identify and Mark Extreme Points in a 2D Plot.
panel.car
Panel Function for Coplots
symbox
Boxplots for transformations to symmetry
regLine
Plot Regression Line
subsets
Plot Output from regsubsets Function in leaps package
outlierTest
Bonferroni Outlier Test
scatter3d
Three-Dimensional Scatterplots and Point Identification