Gmixt_simultanee: Gmixt_simultanee calculates the cost matrix for a...
In MarieEtienne/segTraj: Segmentation of Bivariate Time Series
Description
Usage
Arguments
Value
View source: R/Gmixt_simultanee.R
Description
Gmixt_simultanee calculates the cost matrix for a segmentation/clustering model
Usage
1
Gmixt_simultanee(Don, lmin, phi)
Arguments
Don
the bivariate signal
lmin
the minimum size for a segment
phi
the parameters of the mixture
Value
a matrix G(i,j), the mixture density for segment between points (i+1) to j
= deqn\sum_p=1^P \log (\pi_p f(y^ij;\theta_p))
Rq: this density if factorized in order to avoid numerical zeros in the log
MarieEtienne/segTraj documentation built on May 7, 2019, 2:51 p.m.
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Description Usage Arguments Value
View source: R/Gmixt_simultanee.R
Description
Gmixt_simultanee calculates the cost matrix for a segmentation/clustering model
Usage
1 | Gmixt_simultanee(Don, lmin, phi)
|
Arguments
Don |
the bivariate signal |
lmin |
the minimum size for a segment |
phi |
the parameters of the mixture |
Value
a matrix G(i,j), the mixture density for segment between points (i+1) to j = deqn\sum_p=1^P \log (\pi_p f(y^ij;\theta_p)) Rq: this density if factorized in order to avoid numerical zeros in the log
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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