Mstep_simultanee_cpp: Mstep_simultanee computes the MLE within the EM framework
In rpatin/segclust2d: Bivariate Segmentation/Clustering Methods and Tools
View source: R/SegTraj_EM_cpp.R
Mstep_simultanee_cpp R Documentation
Mstep_simultanee computes the MLE within the EM framework
Description
Mstep_simultanee computes the MLE within the EM framework
Usage
Mstep_simultanee_cpp(x, rupt, tau, phi, sameSigma = TRUE)
Arguments
x
the bivariate signal
rupt
the rupture dataframe
tau
the K*P matrix containing posterior probabilities of membership to
clusters
phi
the parameters of the mixture
sameSigma
whether segments have the same variance
Value
phi the updated value of the parameters
rpatin/segclust2d documentation built on Sept. 10, 2022, 8:02 a.m.
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View source: R/SegTraj_EM_cpp.R
| Mstep_simultanee_cpp | R Documentation |
Mstep_simultanee computes the MLE within the EM framework
Description
Mstep_simultanee computes the MLE within the EM framework
Usage
Mstep_simultanee_cpp(x, rupt, tau, phi, sameSigma = TRUE)
Arguments
x |
the bivariate signal |
rupt |
the rupture dataframe |
tau |
the K*P matrix containing posterior probabilities of membership to clusters |
phi |
the parameters of the mixture |
sameSigma |
whether segments have the same variance |
Value
phi the updated value of the parameters
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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