evaluate: Average Deviance of a Dataset given a Forest
In brandmaier/semtree: Recursive Partitioning for Structural Equation Models
evaluate R Documentation
Average Deviance of a Dataset given a Forest
Description
Evaluates the average deviance (-2LL) of a dataset given a forest.
Usage
evaluate(x, data = NULL, ...)
Arguments
x
A fitted semforest object
data
A data.frame
...
No extra parameters yet.
Value
Average deviance
Author(s)
Andreas M. Brandmaier
References
Brandmaier, A.M., Oertzen, T. v., McArdle, J.J., & Lindenberger,
U. (2013). Structural equation model trees. Psychological Methods,
18(1), 71-86.
See Also
evaluateDataLikelihood, semtree,
semforest
brandmaier/semtree documentation built on April 18, 2024, 3:24 a.m.
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| evaluate | R Documentation |
Average Deviance of a Dataset given a Forest
Description
Evaluates the average deviance (-2LL) of a dataset given a forest.
Usage
evaluate(x, data = NULL, ...)
Arguments
x |
A fitted |
data |
A data.frame |
... |
No extra parameters yet. |
Value
Average deviance
Author(s)
Andreas M. Brandmaier
References
Brandmaier, A.M., Oertzen, T. v., McArdle, J.J., & Lindenberger, U. (2013). Structural equation model trees. Psychological Methods, 18(1), 71-86.
See Also
evaluateDataLikelihood, semtree,
semforest
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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