Research

Peer-reviewed articles

Lyrvall, J., Bakk, Z., Oser, J., & Di Mari, R. (2024). Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates. Structural Equation Modeling: A Multidisciplinary Journal, 1-12.

Cellini, R., Cuccia, T., & Lyrvall, J. (2023). On the price dynamics of non-fungible tokens: The ‘Bored Apes’ case. Plos One, 18(11), e0287881.

Pre-prints

Lyrvall, J., Di Mari, R., Bakk, Z., Oser, J., & Kuha, J. (2023). multilevLCA: An R package for single-level and multilevel latent class analysis with covariates. arXiv preprint arXiv:2305.07276.

Software

Di Mari, R. & Lyrvall, J. (2024). multilevLCA: Estimates and Plots Single-Level and Multilevel Latent Class Models. R package version 1.5.1.