eval_split: eval_split
In andriizakharov/DDMtree: Drift-diffusion model selection with the help of decision trees
Description
Usage
Arguments
Value
Examples
Description
Helper function to evaluate the current split based on a given evaluation
method (the default is least squares, "ls")
Usage
1
eval_split(split_df, method = "ls")
Arguments
split_df
A matrix with two columns coming out of the "split" function
method
A string giving the evaluation method (default is "ls")
–TO BE EXTENDED
Value
A named vector with the preferred tree node after evaluation.
The value gives the outcome in the node, the name is "0" or "1" depending on
which of the two nodes was selected.
Examples
1
pref_node = eval_split(split(pred1, out), method = "ls")
andriizakharov/DDMtree documentation built on May 21, 2019, 9:19 a.m.
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Description Usage Arguments Value Examples
Description
Helper function to evaluate the current split based on a given evaluation method (the default is least squares, "ls")
Usage
1 | eval_split(split_df, method = "ls")
|
Arguments
split_df |
A matrix with two columns coming out of the "split" function |
method |
A string giving the evaluation method (default is "ls") –TO BE EXTENDED |
Value
A named vector with the preferred tree node after evaluation. The value gives the outcome in the node, the name is "0" or "1" depending on which of the two nodes was selected.
Examples
1 | pref_node = eval_split(split(pred1, out), method = "ls")
|
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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