This function decodes the (most likely) underlying hidden state sequence by applying the Viterbi algorithm for global decoding.

## Arguments

- x
An object of class

`fHMM_model`

.- verbose
Set to

`TRUE`

to print progress messages.

## Value

An object of class `fHMM_model`

with decoded state sequence
included.

## Examples

```
decode_states(dax_model_3t)
#> Decoded states
#> fHMM fitted model:
#> * total estimation time: 13 mins
#> * accepted runs: 33 of 200
#> * log-likelihood: 17649.52
plot(dax_model_3t, type = "ts")
```