Software

1. Bartolucci, F., Pandolfi, S., and Pennoni, F. (2025), R package: LMest: Generalized Latent Markov Models (Version 3.2.8). Available at https://cran.r-project.org/web/packages/LMest/index.html (reference paper)

2. Brusa, L. and Matias, C. (2024), R package: HyperSBM: Stochastic Blockmodel for Hypergraphs. Available at: https://github.com/LB1304/HyperSBM (reference paper)

3. Brusa, L., Pennoni, F., and Bartolucci, F. (2024), R package: estDLVM (Discrete latent variable model estimation). Available at: https://github.com/LB1304/estDLVM (reference paper)

4. Pennoni, F., Bartolucci, F., Favaro, D., and Sciulli, D. (2023), R code developed for the paper the "analysis of the effect of streaming on civic participation through a causal hidden Markov model”. Available at: https://github.com/penful/Causal_HM_streaming (reference paper)

5. Pennoni, F., Bartolucci, F. and Pandolfi, S. (2024), R code developed for “variable selection for hidden Markov models with continuous variables and missing data”. Available at: https://github.com/penful/HM_varSel (reference paper)

6. Bartolucci, F. and Pandolfi, S., Pennoni, F. (2024), R code developed for “a class of finite mixture models that includes hidden Markov models for longitudinal data and related misspecification tests”. Available at: https://github.com/Silvia-Pand/HM-FM  (reference paper)

7.  Brusa, L. and Pennoni, F. (2025), R package: dynSBevo (Evolutionary-based estimation of the dynamic stochastic block model). Available at: https://github.com/LB1304/dynSBevo (reference paper)