find_best_split_shift_in_mean_and_variance: find best split shift in mean and variance
In MalteLond/rfcd: Random Forest Change Point Detection
Description
Usage
Arguments
Value
Description
Efficiently calculates the gain in a one-dimensional shift in mean and variance scenario.
Usage
1
Arguments
x
Array with entries that are assumed to have a shift in mean and variance at some split point.
Value
An array on length length(x) with gains resulting from splitting at that specific split point.
MalteLond/rfcd documentation built on June 19, 2019, 2:52 p.m.
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Description Usage Arguments Value
Description
Efficiently calculates the gain in a one-dimensional shift in mean and variance scenario.
Usage
1 |
Arguments
x |
Array with entries that are assumed to have a shift in mean and variance at some split point. |
Value
An array on length length(x) with gains resulting from splitting at that specific split point.
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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