summary.small.em: Summarize a small.em class
In emax.glm: General Tools for Building GLM Expectation-Maximization Models
Description
Usage
Arguments
Value
Examples
Description
Summarize a small.em class
Usage
1
2
Arguments
object
A small.em class
...
additional arguments affecting the summary produced
Value
A data frame of log-likeliood, BIC and model index.
Examples
1
2
3
4
5
x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
warm_up <- small.em(x = x, y = y, K = 2, b.init = "random", sample.size = 50)
summary(warm_up)
emax.glm documentation built on July 4, 2019, 5:04 p.m.
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Description Usage Arguments Value Examples
Description
Summarize a small.em class
Usage
1 2 |
Arguments
object |
A small.em class |
... |
additional arguments affecting the summary produced |
Value
A data frame of log-likeliood, BIC and model index.
Examples
1 2 3 4 5 | x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
warm_up <- small.em(x = x, y = y, K = 2, b.init = "random", sample.size = 50)
summary(warm_up)
|
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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