3 papers
econ.GN2026
Normative boundaries of AI in scientific work: Evidence from PhD researchers
Francesco Angelini, Johan Lyrvall
Artificial intelligence (AI) is increasingly embedded in scientific work, but researchers may not evaluate its use uniformly across research tasks. This study examines task-specifi…
stat.ME2026
An integration of decision trees into latent class modeling with covariates
Johan Lyrvall, Felix Clouth
We propose a novel methodology for fitting decision trees to latent classes. The latent class analysis methodological literature has previously been focusing on logistic models of…
stat.CO2023
multilevLCA: An R Package for Single-Level and Multilevel Latent Class Analysis with Covariates
Johan Lyrvall, Roberto Di Mari, Zsuzsa Bakk +2
This contribution presents a guide to the R package multilevLCA, which offers a complete and innovative set of technical tools for the latent class analysis of single-level and mul…