adjustClassifierParameter: Adjust Classification Tuning Parameter for fitted kdetrees...
In grady/kdetrees: Nonparametric method for identifying discordant phylogenetic trees
Description
Usage
Arguments
Value
Author(s)
Description
Takes a fitted kdetrees object and recalculates the outliers based on a new tuning parameter 'k'.
Usage
1
adjustClassifierParameter(x, k, greedy = FALSE)
Arguments
x
a fitted kdetrees object
k
new classifier tuning parameter
greedy
greedy outlier classification?
Value
a refitted kdetrees object
Author(s)
Grady Weyenberg
grady/kdetrees documentation built on May 17, 2019, 8:01 a.m.
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Description Usage Arguments Value Author(s)
Description
Takes a fitted kdetrees object and recalculates the outliers based on a new tuning parameter 'k'.
Usage
1 | adjustClassifierParameter(x, k, greedy = FALSE)
|
Arguments
x |
a fitted kdetrees object |
k |
new classifier tuning parameter |
greedy |
greedy outlier classification? |
Value
a refitted kdetrees object
Author(s)
Grady Weyenberg
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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