sigmaHat: Return the scale estimate for a regression model
In car: Companion to Applied Regression
sigmaHat R Documentation
Return the scale estimate for a regression model
Description
This function provides a consistent method to return the estimated scale
from a linear, generalized linear, nonlinear, or other model.
Usage
sigmaHat(object)
Arguments
object
A regression object of type lm, glm or nls
Details
For an lm or nls object, the returned quantity is the square root of the
estimate of \sigma^2. For a glm object, the returned quantity is
the square root of the estimated dispersion parameter.
Value
A nonnegative number
Author(s)
Sanford Weisberg, sandy@umn.edu
Examples
m1 <- lm(prestige ~ income + education, data=Duncan)
sigmaHat(m1)
car documentation built on Sept. 27, 2024, 9:06 a.m.
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| sigmaHat | R Documentation |
Return the scale estimate for a regression model
Description
This function provides a consistent method to return the estimated scale from a linear, generalized linear, nonlinear, or other model.
Usage
sigmaHat(object)
Arguments
object |
A regression object of type lm, glm or nls |
Details
For an lm or nls object, the returned quantity is the square root of the
estimate of \sigma^2. For a glm object, the returned quantity is
the square root of the estimated dispersion parameter.
Value
A nonnegative number
Author(s)
Sanford Weisberg, sandy@umn.edu
Examples
m1 <- lm(prestige ~ income + education, data=Duncan)
sigmaHat(m1)
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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