ess-package: ess: Eficient Stepwise Selection in Decomposable Models
In ess: Efficient Stepwise Selection in Decomposable Models
Description
Author(s)
See Also
Description
The class of graphical models is a family of probability
distributions for which conditional dependencies can be read off
from a graph. If the graph is decomposable, the maximum
likelihood estimates of the parameters in the model can be shown
to be on exact form. This is what enables ESS to be fast and
efficient for model selection in decomposable graphical models.
Author(s)
Maintainer: Mads Lindskou mads@math.aau.dk
See Also
Useful links:
ess documentation built on May 31, 2021, 9:10 a.m.
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Description Author(s) See Also
Description
The class of graphical models is a family of probability distributions for which conditional dependencies can be read off from a graph. If the graph is decomposable, the maximum likelihood estimates of the parameters in the model can be shown to be on exact form. This is what enables ESS to be fast and efficient for model selection in decomposable graphical models.
Author(s)
Maintainer: Mads Lindskou mads@math.aau.dk
See Also
Useful links:
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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