fpop_analysis: fpop analysis
In fpop: Segmentation using Optimal Partitioning and Function Pruning
Description
Usage
Arguments
Value
Author(s)
Description
A function to count the number of intervals and or candidate
segmentation at each step of fpop (under-developpemment)
Usage
1
fpop_analysis(x, lambda, mini = min(x), maxi = max(x))
Arguments
x
A vector of double : the signal to be segmented
lambda
Value of the penalty
mini
Min value for the mean parameter of the segment
maxi
Max value for the mean parameter of the segment
Value
return a list with a vector containing the position of the change-points t.est
Author(s)
Guillem Rigaill, Toby Dylan Hocking
fpop documentation built on Aug. 27, 2019, 9:02 a.m.
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Description Usage Arguments Value Author(s)
Description
A function to count the number of intervals and or candidate segmentation at each step of fpop (under-developpemment)
Usage
1 | fpop_analysis(x, lambda, mini = min(x), maxi = max(x))
|
Arguments
x |
A vector of double : the signal to be segmented |
lambda |
Value of the penalty |
mini |
Min value for the mean parameter of the segment |
maxi |
Max value for the mean parameter of the segment |
Value
return a list with a vector containing the position of the change-points t.est
Author(s)
Guillem Rigaill, 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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