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marinavannucci / Zero-inflated-negative-binomial-nonhomogeneous-hidden-Markov-model-with-variable-selection

Zero-inflated negative binomial non-homogeneous hidden Markov model with variable selection for seizure risk: Wang ET, Chiang S, Haneef Z, Rao VR, Moss R, Vannucci M. Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling. Annals of Applied Statistics, 2022 (in press).

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ZINB-NHMM-BVS

This code implements the zero inflated negative binomial non-homogeneous hidden Markov model with variable selection (ZINB-NHMM-BVS) for modeling of discrete seizure risk states from zero-inflated count data and simultaneously measured time-varying covariates.

Citation: Wang ET, Chiang S, Haneef Z, Rao VR, Moss R, Vannucci M. Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling. Annals of Applied Statistics, 2022 (in press).

To access code: Please submit requests to seizurerisk@gmail.com.

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Zero-inflated negative binomial non-homogeneous hidden Markov model with variable selection for seizure risk: Wang ET, Chiang S, Haneef Z, Rao VR, Moss R, Vannucci M. Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling. Annals of Applied Statistics, 2022 (in press).