mixtools

R package mixtools: Tools for analyzing finite mixture models. A collection of R functions for analyzing finite mixture models. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 24 articles )

Showing results 1 to 20 of 24.
Sorted by year (citations)

1 2 next

  1. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018)
  2. Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez-Casal: Multimode: An R Package for Mode Assessment (2018) arXiv
  3. Clarke, Brenton R.; Davidson, Thomas; Hammarstrand, Robert: A comparison of the $L_2$ minimum distance estimator and the EM-algorithm when fitting $k$-component univariate normal mixtures (2017)
  4. Saptarshi Chakraborty, Samuel W.K. Wong: BAMBI: An R package for Fitting Bivariate Angular Mixture Models (2017) arXiv
  5. Bordes, Laurent; Chauveau, Didier: Stochastic EM algorithms for parametric and semiparametric mixture models for right-censored lifetime data (2016)
  6. Dalla Valle, Luciana; De Giuli, Maria Elena; Tarantola, Claudia; Manelli, Claudio: Default probability estimation via pair copula constructions (2016)
  7. Li, Meng; Xiang, Sijia; Yao, Weixin: Robust estimation of the number of components for mixtures of linear regression models (2016)
  8. Shepherd, Bryan E.; Li, Chun; Liu, Qi: Probability-scale residuals for continuous, discrete, and censored data (2016)
  9. Cecile Proust-Lima, Viviane Philipps, Benoit Liquet: Estimation of extended mixed models using latent classes and latent processes: the R package lcmm (2015) arXiv
  10. Chauveau, Didier; Hunter, David R.; Levine, Michael: Semi-parametric estimation for conditional independence multivariate finite mixture models (2015)
  11. Owen, William Jason; Tony Ng, Hon Keung: Revisit of relationships and models for the Birnbaum-Saunders and inverse-Gaussian distributions (2015)
  12. Rémi Lebret; Serge Iovleff; Florent Langrognet; Christophe Biernacki; Gilles Celeux; Gérard Govaert: Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library (2015)
  13. Sharon X. Lee, Geoffrey J. McLachlan: EMMIXcskew: an R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions (2015) arXiv
  14. van der Ven, Sanne H. G.; Straatemeier, Marthe; Jansen, Brenda R. J.; Klinkenberg, Sharon; van der Maas, Han L. J.: Learning multiplication: an integrated analysis of the multiplication ability of primary school children and the difficulty of single digit and multidigit multiplication problems (2015) MathEduc
  15. Arnošt Komárek; Lenka Komárková: Capabilities of R Package mixAK for Clustering Based on Multivariate Continuous and Discrete Longitudinal Data (2014)
  16. Arthur White; Thomas Murphy: BayesLCA: An R Package for Bayesian Latent Class Analysis (2014)
  17. Young, Derek S.: Mixtures of regressions with changepoints (2014)
  18. Bordes, L.; Kojadinovic, I.; Vandekerkhove, P.: Semiparametric estimation of a two-component mixture of linear regressions in which one component is known (2013)
  19. Chee, Chew-Seng; Wang, Yong: Estimation of finite mixtures with symmetric components (2013)
  20. Komárek, Arnošt; Komárková, Lenka: Clustering for multivariate continuous and discrete longitudinal data (2013)

1 2 next