`hybrid_simultanee`

performs a simultaneous seg - clustering for
bivariate signals.`R/segTraj_hybrid_simultanee.R`

`hybrid_simultanee.Rd`

It is an algorithm which combines dynamic programming and the EM algorithm to calculate the MLE of phi and T, which are the mixture parameters and the change point instants. this algorithm is run for a given number of clusters, and estimates the parameters for a segmentation/clustering model with P clusters and 1:Kmax segments

```
hybrid_simultanee(
x,
P,
Kmax,
lmin = 3,
sameSigma = TRUE,
sameVar.init = FALSE,
eps = 1e-06,
lissage = TRUE,
pureR = FALSE,
...
)
```

- x
the two-dimensional signal, one line per dimension

- P
the number of classes

- Kmax
the maximal number of segments

- lmin
minimum length of segment

- sameSigma
should segment have the same variance

- sameVar.init
sameVar.init

- eps
eps

- lissage
should likelihood be smoothed

- pureR
should algorithm run in full R or use Rcpp speed improvements

- ...
additional parameters

a list with Linc, the incomplete loglikelihood =Linc,param=paramtau posterior probability