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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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Version

Install

install.packages('car')

Monthly Downloads

596,351

Version

3.0-12

License

GPL (>= 2)

Maintainer

Last Published

November 6th, 2021

Functions in car (3.0-12)

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