# Hidden Hybrid Markov/Semi-Markov Model Fitting

## Documentation for package ‘hhsmm’ version 0.1.2

- DESCRIPTION file.

## Help Pages

CMAPSS | CMAPSS data set
cov.mix.wt | weighted covariance
dmixmvnorm | pdf of the mixture of multivariate normals for hhsmm
hhsmmdata | convert to hhsmm data
hhsmmfit | hhsmm model fit
hhsmmspec | hhsmm specification
homogeneity | Computing maximum homogeneity of two state sequences
initialize_model | initialize the hhsmmspec model
initial_cluster | initial clustering of the data set
initial_estimate | initial estimation of the model parameters
ltr_clus | left to right clustering
make_model | make a hhsmmspec model
mixmvnorm_mstep | the M step function of the EM algorithm
predict.hhsmm | prediction of state sequence for hhsmm
predict.hhsmmspec | prediction of state sequence for hhsmm
rmixmvnorm | Random data generation from the mixture of multivariate normals for hhsmm model
simulate.hhsmmspec | Simulation of data from hhsmm model
train_test_split | Splitting the data sets to train and test