sigmaHat: Return the scale estimate for a regression model
In jonathon-love/car: Companion to Applied Regression
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function provides a consistent method to return the estimated scale
from a linear, generalized linear, nonlinear, or other model.
Usage
1
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. 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
1
2
jonathon-love/car documentation built on May 19, 2019, 7:28 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This function provides a consistent method to return the estimated scale from a linear, generalized linear, nonlinear, or other model.
Usage
1 | 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. 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
1 2 |
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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