get_complexity_empirical: get complexity empirical
In binsegRcpp: Efficient Implementation of Binary Segmentation
get_complexity_empirical R Documentation
get complexity empirical
Description
Get empirical split counts. This is a sub-routine of
get_complexity, which should typically be used instead.
Usage
get_complexity_empirical(model.dt,
min.segment.length = 1L)
Arguments
model.dt
splits data table from binseg result list.
min.segment.length
Minimum segment length, positive integer.
Value
data.table with one row per model size, and column splits with
number of splits to check after computing that model size.
Author(s)
Toby Dylan Hocking
binsegRcpp documentation built on Sept. 8, 2023, 6:11 p.m.
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| get_complexity_empirical | R Documentation |
get complexity empirical
Description
Get empirical split counts. This is a sub-routine of
get_complexity, which should typically be used instead.
Usage
get_complexity_empirical(model.dt,
min.segment.length = 1L)Arguments
model.dt |
splits data table from |
min.segment.length |
Minimum segment length, positive integer. |
Value
data.table with one row per model size, and column splits with number of splits to check after computing that model size.
Author(s)
Toby Dylan Hocking
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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