mixsmsn

R package mixsmsn: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions. Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 40 articles , 2 standard articles )

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  1. Melnykov, Volodymyr; Michael, Semhar: Clustering large datasets by merging (K)-means solutions (2020)
  2. Biernacki, Christophe; Lourme, Alexandre: Unifying data units and models in (co-)clustering (2019)
  3. Kim, Nam-Hwui; Browne, Ryan: Subspace clustering for the finite mixture of generalized hyperbolic distributions (2019)
  4. Maleki, Mohsen; Contreras-Reyes, Javier E.; Mahmoudi, Mohammad R.: Robust mixture modeling based on two-piece scale mixtures of normal family (2019)
  5. Morris, Katherine; Punzo, Antonio; McNicholas, Paul D.; Browne, Ryan P.: Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions (2019)
  6. Wang, Wan-Lun; Castro, Luis M.; Chang, Yen-Ting; Lin, Tsung-I: Mixtures of restricted skew-(t) factor analyzers with common factor loadings (2019)
  7. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  8. Lachos Dávila, Víctor Hugo; Cabral, Celso Rômulo Barbosa; Zeller, Camila Borelli: Finite mixture of skewed distributions (2018)
  9. Mahdi Teimouri; Mahdi Torshizi; Adel Mohammadpour; Saralees Nadarajah: alphastable: An R Package for Modelling Multivariate Stable and Mixture of Symmetric Stable Distributions (2018) arXiv
  10. Parisi, Antonio; Liseo, B.: Objective Bayesian analysis for the multivariate skew-(t) model (2018)
  11. Teimouri, Mahdi; Rezakhah, Saeid; Mohammadpour, Adel: EM algorithm for symmetric stable mixture model (2018)
  12. Zhu, Xuwen; Melnykov, Volodymyr: Manly transformation in finite mixture modeling (2018)
  13. Lachos, Víctor H.; Moreno, Edgar J. López; Chen, Kun; Cabral, Celso Rômulo Barbosa: Finite mixture modeling of censored data using the multivariate Student-(t) distribution (2017)
  14. Maleki, Mohsen; Arellano-Valle, Reinaldo B.: Maximum a-posteriori estimation of autoregressive processes based on finite mixtures of scale-mixtures of skew-normal distributions (2017)
  15. Bansal, Naveen K.; Hamedani, Gholamhossein G.; Maadooliat, Mehdi: Testing multiple hypotheses with skewed alternatives (2016)
  16. Lee, Sharon X.; McLachlan, Geoffrey J.: Finite mixtures of canonical fundamental skew (t)-distributions. The unification of the restricted and unrestricted skew (t)-mixture models (2016)
  17. Li, Huiqiong; Wu, Liucang; Yi, Jieyi: A skew-normal mixture of joint location, scale and skewness models (2016)
  18. Michael, Semhar; Melnykov, Volodymyr: An effective strategy for initializing the EM algorithm in finite mixture models (2016)
  19. O’Hagan, Adrian; Murphy, Thomas Brendan; Gormley, Isobel Claire; McNicholas, Paul D.; Karlis, Dimitris: Clustering with the multivariate normal inverse Gaussian distribution (2016)
  20. Zeller, Camila B.; Cabral, Celso R. B.; Lachos, Víctor H.: Robust mixture regression modeling based on scale mixtures of skew-normal distributions (2016)

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