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car (version 3.0-5)
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
531,516
Version
3.0-5
License
GPL (>= 2)
Homepage
https://r-forge.r-project.org/projects/car/
Maintainer
John Fox
Last Published
November 15th, 2019
Functions in car (3.0-5)
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boxTidwell
Box-Tidwell Transformations
ScatterplotSmoothers
Smoothers to Draw Lines on Scatterplots
TransformationAxes
Axes for Transformed Variables
Tapply
Apply a Function to a Variable Within Factor Levels
boxCox
Graph the profile log-likelihood for Box-Cox transformations in 1D, or in 2D with the bcnPower family.
boxCoxVariable
Constructed Variable for Box-Cox Transformation
bcPower
Box-Cox, Box-Cox with Negatives Allowed, Yeo-Johnson and Basic Power Transformations
avPlots
Added-Variable Plots
brief
Print Abbreviated Ouput
car-deprecated
Deprecated Functions in the car Package
car-defunct
Defunct Functions in the car Package
densityPlot
Nonparametric Density Estimates
dfbetaPlots
dfbeta and dfbetas Index Plots
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
carHexsticker
View the Official Hex Sticker for the car Package
carWeb
Access to the R Companion to Applied Regression Website
carPalette
Set or Retrieve
car
Package Color Palette
invTranPlot
Choose a Predictor Transformation Visually or Numerically
invResPlot
Inverse Response Plots to Transform the Response
durbinWatsonTest
Durbin-Watson Test for Autocorrelated Errors
infIndexPlot
Influence Index Plot
hist.boot
Methods Functions to Support
boot
Objects
hccm
Heteroscedasticity-Corrected Covariance Matrices
compareCoefs
Print estimated coefficients and their standard errors in a table for several regression models.
ceresPlots
Ceres Plots
influencePlot
Regression Influence Plot
influence.mixed.models
Influence Diagnostics for Mixed-Effects Models
leveragePlots
Regression Leverage Plots
leveneTest
Levene's Test
outlierTest
Bonferroni Outlier Test
panel.car
Panel Function for Coplots
mmps
Marginal Model Plotting
poTest
Test for Proportional Odds in the Proportional-Odds Logistic-Regression Model
ncvTest
Score Test for Non-Constant Error Variance
mcPlots
Draw Linear Model Marginal and Conditional Plots in Parallel or Overlaid
qqPlot
Quantile-Comparison Plot
powerTransform
Finding Univariate or Multivariate Power Transformations
logit
Logit Transformation
linearHypothesis
Test Linear Hypothesis
recode
Recode a Variable
some
Sample a Few Elements of an Object
sigmaHat
Return the scale estimate for a regression model
showLabels
Functions to Identify and Mark Extreme Points in a 2D Plot.
wcrossprod
Weighted Matrix Crossproduct
residualPlots
Residual Plots for Linear and Generalized Linear Models
scatter3d
Three-Dimensional Scatterplots and Point Identification
spreadLevelPlot
Spread-Level Plots
whichNames
Position of Row Names
regLine
Plot Regression Line
vif
Variance Inflation Factors
testTransform
Likelihood-Ratio Tests for Univariate or Multivariate Power Transformations to Normality
scatterplot
Enhanced Scatterplots with Marginal Boxplots, Point Marking, Smoothers, and More
scatterplotMatrix
Scatterplot Matrices
subsets
Plot Output from regsubsets Function in leaps package
symbox
Boxplots for transformations to symmetry
Export
Export a data frame to disk in one of many formats
Ellipses
Ellipses, Data Ellipses, and Confidence Ellipses
S
Modified Functions for Summarizing Linear, Generalized Linear, and Some Other Models
Contrasts
Functions to Construct Contrasts
Boxplot
Boxplots With Point Identification
Import
Import data from many file formats
Predict
Model Predictions
Boot
Bootstrapping for regression models
Anova
Anova Tables for Various Statistical Models