Mstep_simultanee_cpp: Mstep_simultanee computes the MLE within the EM framework
In 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
segclust2d documentation built on May 29, 2024, 6:41 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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