select_best: Select the best parameters from a set of results
In emax.glm: General Tools for Building GLM Expectation-Maximization Models
Description
Usage
Arguments
Value
Examples
Description
Select the best parameters from a set of results
Return the optimal model based on BIC scores
Usage
1
2
3
Arguments
small.em
A 'small.em' object
Value
The parameters of the best model, as judged by log-likelihood.
Examples
1
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x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
warm_up <- small.em(x = x, y = y, K = 2, b.init = "random", sample.size = 20)
select_best(warm_up)
emax.glm documentation built on July 4, 2019, 5:04 p.m.
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Description Usage Arguments Value Examples
Description
Select the best parameters from a set of results
Return the optimal model based on BIC scores
Usage
1 2 3 |
Arguments
small.em |
A 'small.em' object |
Value
The parameters of the best model, as judged by log-likelihood.
Examples
1 2 3 4 5 6 | x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
warm_up <- small.em(x = x, y = y, K = 2, b.init = "random", sample.size = 20)
select_best(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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