Gmixt_simultanee: Gmixt_simultanee calculates the cost matrix for a...
In rpatin/segtools: Bivariate Segmentation/Clustering Methods and Tools
View source: R/segTraj_Gmixt_simultanee.R
Gmixt_simultanee R Documentation
Gmixt_simultanee calculates the cost matrix
for a segmentation/clustering model
Description
Gmixt_simultanee calculates the cost matrix
for a segmentation/clustering model
Usage
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
G(i,j) =
\∑_{p=1}^P \log (\π_p f(y^{ij};\θ_p))
\sump=1 -> P log( \pip f( yij ; \thetap ) )
Rq: this density if factorized in order to avoid numerical zeros in
the log
rpatin/segtools documentation built on Sept. 12, 2022, 5:09 p.m.
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View source: R/segTraj_Gmixt_simultanee.R
| Gmixt_simultanee | R Documentation |
Gmixt_simultanee calculates the cost matrix for a segmentation/clustering model
Description
Gmixt_simultanee calculates the cost matrix for a segmentation/clustering model
Usage
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 G(i,j) =
\∑_{p=1}^P \log (\π_p f(y^{ij};\θ_p))
\sump=1 -> P log( \pip f( yij ; \thetap ) ) 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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