compute_rand: Rand Index Function for change point detection
In Lucas-Prates/blockcpd: Change Point Detection for Multiple Aligned Independent Time Series
compute_rand R Documentation
Rand Index Function for change point detection
Description
Computes the rand Index (non-adjusted) for the change point sets. A specific
equation for change point detection is used to make the computation faster.
Proof of correctness of the equation is given in the dissertation.
Usage
compute_rand(cp1, cp2, m)
Arguments
cp1
Change point set for model 1 or true change point set.
cp2
Change point set for model 2 or true change point set.
m
The size of the vector array.
Lucas-Prates/blockcpd documentation built on Aug. 19, 2022, 12:55 a.m.
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| compute_rand | R Documentation |
Rand Index Function for change point detection
Description
Computes the rand Index (non-adjusted) for the change point sets. A specific equation for change point detection is used to make the computation faster. Proof of correctness of the equation is given in the dissertation.
Usage
compute_rand(cp1, cp2, m)
Arguments
cp1 |
Change point set for model 1 or true change point set. |
cp2 |
Change point set for model 2 or true change point set. |
m |
The size of the vector array. |
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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