# hhsmm: An R package for hidden hybrid Markov/semi-Markov models

@inproceedings{Amini2021hhsmmAR, title={hhsmm: An R package for hidden hybrid Markov/semi-Markov models}, author={Morteza Amini and Afarin Bayat}, year={2021} }

This paper introduces the hhsmm, which involves functions for initializing, fitting and predication of hidden hybrid Markov/semi-Markov models. These models are flexible models with both Markovian and semi-Markovian states, which are applied to situations where the model involves absorbing or macro states. The left-to-right models and the models with series/parallel networks of states are two models with Markovian and semi-Markovian states. The hhsmm also includes the residual useful lifetime…

## References

SHOWING 1-10 OF 17 REFERENCES

hsmm - An R package for analyzing hidden semi-Markov models

- Mathematics, Computer ScienceComput. Stat. Data Anal.
- 2010

Hidden semi-Markov models are a generalization of the well-known hidden Markov model. They allow for a greater flexibility of sojourn time distributions, which implicitly follow a geometric…

Hidden hybrid Markov/semi-Markov chains

- Mathematics, Computer ScienceComput. Stat. Data Anal.
- 2005

The forward-backward algorithm, which in particular enables to implement efficiently the E-step of the EM algorithm, and the Viterbi algorithm for the restoration of the most likely state sequence are derived.

Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R

- Mathematics
- 2011

This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of…

depmixS4: An R Package for Hidden Markov Models

- Economics, Mathematics
- 2010

depmixS4 implements a general framework for defining and estimating dependent mixture models in the R programming language. This includes standard Markov models, latent/hidden Markov models, and…

Hidden Semi-Markov Models for Predictive Maintenance

- Engineering
- 2015

Realistic predictive maintenance approaches are essential for condition monitoring and predictive maintenance of industrial machines. In this work, we propose Hidden Semi-Markov Models (HSMMs) with…

Multi-state modelling with R: the msm package

- Computer Science
- 2014

This manual introduces the theory behind multi-state Markov and hidden Markov models, and gives a tutorial in the typical use of the msm package, illustrated by some typical applications to modelling chronic diseases.

User's Guide for the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS)

- Engineering
- 2007

This report is a Users Guide for the NASA-developed Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) software, which is a transient simulation of a large commercial turbofan engine (up…

Mathematical Background Notes for Package "HiddenMarkov"

- Computer Science
- 2010

These notes give a very brief background to some relationships that are used in the R package “HiddenMarkov” (Harte, 2010). This package fits various hidden Markov models. R is a comprehensive…

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

- Biology, Computer Science
- 1998

This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis.

Damage propagation modeling for aircraft engine run-to-failure simulation

- Engineering2008 International Conference on Prognostics and Health Management
- 2008

This paper describes how damage propagation can be modeled within the modules of aircraft gas turbine engines. To that end, response surfaces of all sensors are generated via a thermo-dynamical…