AutoNOM: Automatic Nonstationary Oscillatory Modelling, a Julia software to model nonstationary periodic time series.
HHMM: Harmonic Hidden Markov Model, a Julia software to model time-varying periodic and oscillatory processes by means of a Bayesian non-parametric HHMM.
BayesianApproxHSMM: a stan software (and R utilities) to model time series and sequential data using a Bayesian approximation to Hidden semi-Markov models.
mvHMM: contains a suite of software that utilizes multivariate Bayesian hidden Markov models (HMM) for the analysis of signals from monoamine neurotransmitters.
sparseVARHSMM a stan software (and R utilities) to model temporal and contemporaneous (e.g. spatial) dependencies in multivariate time series data using a flexible VAR HSMM.
BayesRPAGP: Bayesian Random Phase-Amplitude Gaussian Process. An R software for Bayesian inference of trial-level analysis of ERP data.
CALC: Bayesian covariate-dependent anti-logistic circadian model for activity data . A stan software (and R utilities) for cohort-level Bayesian modeling of circadian rest-activity rhythms designed to integrate wearable actigraphy with demographic and clinical predictors.