References in zbMATH (referenced in 26 articles )

Showing results 1 to 20 of 26.
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  1. Etienne Côme, Nicolas Jouvin : greed: An R Package for Model-Based Clustering by Greedy Maximization of the Integrated Classification Likelihood (2022) arXiv
  2. Irena B Chen, Qiyuan Shi, Scott L Zeger, Zhenke Wu: baker: An R package for Nested Partially-Latent Class Models (2022) arXiv
  3. Cabero, Ismael; Epifanio, Irene: Finding archetypal patterns for binary questionnaires (2020)
  4. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  5. Jeffrey Pullin, Lyle Gurrin, Damjan Vukcevic: Rater: An R Package for Fitting Statistical Models of Repeated Categorical Ratings (2020) arXiv
  6. Durante, Daniele; Canale, Antonio; Rigon, Tommaso: A nested expectation-maximization algorithm for latent class models with covariates (2019)
  7. Frühwirth-Schnatter, Sylvia; Malsiner-Walli, Gertraud: From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering (2019)
  8. O’Hagan, Adrian; White, Arthur: Improved model-based clustering performance using Bayesian initialization averaging (2019)
  9. Alfonso Iodice D’Enza, Angelos Markos, Davide Buttarazzi: The idm Package: Incremental Decomposition Methods in R (2018) not zbMATH
  10. Fop, Michael; Murphy, Thomas Brendan: Variable selection methods for model-based clustering (2018)
  11. Mair, Patrick: Modern psychometrics with R (2018)
  12. Ken Beath: randomLCA: An R Package for Latent Class with Random Effects Analysis (2017) not zbMATH
  13. Mauricio Sarrias and Ricardo Daziano: Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package (2017) not zbMATH
  14. Ranalli, Monia; Rocci, Roberto: A model-based approach to simultaneous clustering and dimensional reduction of ordinal data (2017)
  15. Sulis, Isabella; Porcu, Mariano: Handling missing data in item response theory. Assessing the accuracy of a multiple imputation procedure based on latent class analysis (2017)
  16. Gardner-Lubbe, Sugnet: A triplot for multiclass classification visualisation (2016)
  17. Gibert, Karina; Sevilla-Villanueva, Beatriz; Sànchez-Marrè, Miquel: The role of significance tests in consistent interpretation of nested partitions (2016)
  18. Gudicha, Dereje W.; Tekle, Fetene B.; Vermunt, Jeroen K.: Power and sample size computation for Wald tests in latent class models (2016)
  19. Larose, Chantal; Harel, Ofer; Kordas, Katarzyna; Dey, Dipak K.: Latent class analysis of incomplete data via an entropy-based criterion (2016)
  20. Flora Jay; Olivier François; Eric Durand; Michael Blum: POPS: A Software for Prediction of Population Genetic Structure Using Latent Regression Models (2015) not zbMATH

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