Scale-constrained approaches for maximum likelihood estimation and model selection of clusterwise linear regression models von Di Mari, Roberto, Rocci, Roberto, Gattone, Stefano Antonio

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Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models von Di Mari, Roberto, Ingrassia, Salvatore, Punzo, Antonio

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Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment von Di Mari, Roberto, Punzo, Antonio, Bakk, Zsuzsa

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Dynamic Discrete Mixtures for High-Frequency Prices von Catania, Leopoldo, Di Mari, Roberto, Santucci de Magistris, Paolo

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A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error von Di Mari, Roberto, Maruotti, Antonello

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A data driven equivariant approach to constrained Gaussian mixture modeling von Rocci, Roberto, Gattone, Stefano Antonio, Di Mari, Roberto

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Penalized Estimation of a Finite Mixture of Linear Regression Models von Rocci, Roberto, Mari, Roberto Di, Gattone, Stefano Antonio

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Hierarchical Markov-switching models for multivariate integer-valued time-series von Catania, Leopoldo, Di Mari, Roberto

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A two-step estimator for multilevel latent class analysis with covariates von Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni

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Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing von Oser, Jennifer, Hooghe, Marc, Bakk, Zsuzsa, Di Mari, Roberto

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Clusterwise linear regression modeling with soft scale constraints von Di Mari, Roberto, Rocci, Roberto, Gattone, Stefano Antonio

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Bias-Adjusted Three-Step Latent Markov Modeling With Covariates von Di Mari, Roberto, Oberski, Daniel L, Vermunt, Jeroen K

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Multilevel latent class analysis with covariates: Analysis of cross-national citizenship norms with a two-stage approach von Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni

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Finite Mixture of Linear Regression Models: An Adaptive Constrained Approach to Maximum Likelihood Estimation von Di Mari, Roberto, Rocci, Roberto, Gattone, Stefano Antonio

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A two-step estimator for multilevel latent class analysis with covariates von Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni

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multilevLCA: An R Package for Single-Level and Multilevel Latent Class Analysis with Covariates von Lyrvall, Johan, Di Mari, Roberto, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni

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LASSO–penalized clusterwise linear regression modelling: a two–step approach von Di Mari, Roberto, Rocci, Roberto, Gattone, Stefano Antonio

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Cluster-weighted latent class modeling von Di Mari, Roberto, Punzo, Antonio, Bakk, Zsuzsa

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Multilevel latent class analysis with covariates: Analysis of cross-national citizenship norms with a two-stage approach von Roberto Di Mari, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni

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A two-step estimator for multilevel latent class analysis with covariates von Roberto Di Mari, Bakk, Zsuzsa, Oser, Jennifer, Kuha, Jouni

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