performance_rse: Residual Standard Error for Linear Models
In performance: Assessment of Regression Models Performance
View source: R/performance_rse.R
performance_rse R Documentation
Residual Standard Error for Linear Models
Description
Compute residual standard error of linear models.
Usage
performance_rse(model)
Arguments
model
A model.
Details
The residual standard error is the square root of the residual
sum of squares divided by the residual degrees of freedom.
Value
Numeric, the residual standard error of model.
Examples
data(mtcars)
m <- lm(mpg ~ hp + gear, data = mtcars)
performance_rse(m)
performance documentation built on Oct. 19, 2024, 1:07 a.m.
R Package Documentation
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View source: R/performance_rse.R
| performance_rse | R Documentation |
Residual Standard Error for Linear Models
Description
Compute residual standard error of linear models.
Usage
performance_rse(model)
Arguments
model |
A model. |
Details
The residual standard error is the square root of the residual sum of squares divided by the residual degrees of freedom.
Value
Numeric, the residual standard error of model.
Examples
data(mtcars)
m <- lm(mpg ~ hp + gear, data = mtcars)
performance_rse(m)
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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