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car (version 3.1-1)

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

3.1-1

License

GPL (>= 2)

Maintainer

Last Published

October 19th, 2022

Functions in car (3.1-1)

Export

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

Bootstrapping for regression models
ScatterplotSmoothers

Smoothers to Draw Lines on Scatterplots
Boxplot

Boxplots With Point Identification
Import

Import data from many file formats
S

Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models
Contrasts

Functions to Construct Contrasts
Anova

Anova Tables for Various Statistical Models
Ellipses

Ellipses, Data Ellipses, and Confidence Ellipses
Predict

Model Predictions
boxCox

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

Defunct Functions in the car Package
car-deprecated

Deprecated Functions in the car Package
bcPower

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

Axes for Transformed Variables
brief

Print Abbreviated Ouput
boxTidwell

Box-Tidwell Transformations
boxCoxVariable

Constructed Variable for Box-Cox Transformation
Tapply

Apply a Function to a Variable Within Factor Levels
avPlots

Added-Variable Plots
densityPlot

Nonparametric Density Estimates
ceresPlots

Ceres Plots
car-internal.Rd

Internal Objects for the car package
carWeb

Access to the R Companion to Applied Regression Website
carPalette

Set or Retrieve car Package Color Palette
dfbetaPlots

dfbeta and dfbetas Index Plots
compareCoefs

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

View the Official Hex Sticker for the car Package
crPlots

Component+Residual (Partial Residual) Plots
deltaMethod

Estimate and Standard Error of a Nonlinear Function of Estimated Regression Coefficients
influence.mixed.models

Influence Diagnostics for Mixed-Effects Models
influencePlot

Regression Influence Plot
invTranPlot

Choose a Predictor Transformation Visually or Numerically
invResPlot

Inverse Response Plots to Transform the Response
leveneTest

Levene's Test
leveragePlots

Regression Leverage Plots
hist.boot

Methods Functions to Support boot Objects
infIndexPlot

Influence Index Plot
durbinWatsonTest

Durbin-Watson Test for Autocorrelated Errors
hccm

Heteroscedasticity-Corrected Covariance Matrices
pointLabel

Label placement for points to avoid overlaps
panel.car

Panel Function for Coplots
powerTransform

Finding Univariate or Multivariate Power Transformations
poTest

Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model
ncvTest

Score Test for Non-Constant Error Variance
mmps

Marginal Model Plotting
mcPlots

Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid
outlierTest

Bonferroni Outlier Test
logit

Logit Transformation
linearHypothesis

Test Linear Hypothesis
qqPlot

Quantile-Comparison Plot
sigmaHat

Return the scale estimate for a regression model
recode

Recode a Variable
regLine

Plot Regression Line
some

Sample a Few Elements of an Object
scatter3d

Three-Dimensional Scatterplots and Point Identification
scatterplotMatrix

Scatterplot Matrices
scatterplot

Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More
showLabels

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

Residual Plots for Linear and Generalized Linear Models
symbox

Boxplots for transformations to symmetry
vif

Variance Inflation Factors
testTransform

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

Plot Output from regsubsets Function in leaps package
spreadLevelPlot

Spread-Level Plots
strings2factors

Convert Character-String Variables in a Data Frame to Factors
whichNames

Position of Row Names
wcrossprod

Weighted Matrix Crossproduct