Comments (3)
Yes, you can see examples in ?build_hmm
.
from seqhmm.
. For example, I have a matrix with N rows and M columns. each row means the time series, and columns represent different discrete/category
will it work for case when columns represent different discrete/category have different length ?
when each category has time series with different number of elements - meaning different length ?
from seqhmm.
Yes this is possible you just have to pad some of the series with NA values.
from seqhmm.
Related Issues (20)
- [Help request] How to test the model? HOT 1
- will it work for multivariate time series prediction : different continues or/and discrete/category observation HOT 4
- HMM cluster assignments HOT 2
- seqdata should be a state sequence object HOT 1
- Apply to financial time series? HOT 1
- Parsing HMMER3 files HOT 2
- 'System seems singular' and 'EM algorithm failed' for Mixture Markov Model HOT 2
- Building a model with different sequence lengths HOT 1
- hidden_paths does not respect sequence length HOT 4
- Parallel computation HOT 2
- Forward probability of MHMM vs HMM HOT 1
- standard errors for HMM parameters HOT 3
- Maximum number of colours in cpal/colorpalette HOT 4
- Extracting combinations of emitted states HOT 4
- Error in if (em.con$reltol < resEM$change) { : argument is of length zero HOT 5
- Absorbing state broken in `build_mm()` (seqhmm 1.2.1-1) HOT 1
- Runtime Estimation HOT 1
- EM algorithm failed HOT 1
- Error: number of labels must equal number of states in the alphabet HOT 4
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from seqhmm.