Mahal: Compute Mahalanobis Distance for Multiple Regression
In BetterReg: Better Statistics for OLS and Binomial Logistic Regression
Mahal R Documentation
Compute Mahalanobis Distance for Multiple Regression
Description
Compute Mahalanobis Distance for Multiple Regression
Usage
Mahal(model = NULL, pred = NULL, values = 5)
Arguments
model
name of model
pred
number of predictors
values
number of Mahal values to print (highest values). Default is 10
Value
Mahalanobis Distance to detect MV outliers
Examples
mymodel<-lm(y~x1+x2+x3+x4, testreg)
Mahal(model=mymodel, pred=5, values = 10)
BetterReg documentation built on Feb. 1, 2026, 9:07 a.m.
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| Mahal | R Documentation |
Compute Mahalanobis Distance for Multiple Regression
Description
Compute Mahalanobis Distance for Multiple Regression
Usage
Mahal(model = NULL, pred = NULL, values = 5)
Arguments
model |
name of model |
pred |
number of predictors |
values |
number of Mahal values to print (highest values). Default is 10 |
Value
Mahalanobis Distance to detect MV outliers
Examples
mymodel<-lm(y~x1+x2+x3+x4, testreg)
Mahal(model=mymodel, pred=5, values = 10)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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