summary.em.glm: Summarize EM glm coefficients.
In emax.glm: General Tools for Building GLM Expectation-Maximization Models
Description
Usage
Arguments
Value
Examples
Description
Summarize EM glm coefficients.
Usage
1
2
Arguments
object
An em.glm object
...
additional arguments affecting the summary produced
Value
List of each classes coefficients and errors.
Examples
1
2
3
4
5
6
x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
m <- em.glm(x = x, y = y, K = 2, b.init = "random")
summary(m)
emax.glm documentation built on July 4, 2019, 5:04 p.m.
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Description Usage Arguments Value Examples
Description
Summarize EM glm coefficients.
Usage
1 2 |
Arguments
object |
An em.glm object |
... |
additional arguments affecting the summary produced |
Value
List of each classes coefficients and errors.
Examples
1 2 3 4 5 6 | x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
m <- em.glm(x = x, y = y, K = 2, b.init = "random")
summary(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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