VGAM

R package VGAM: Vector Generalized Linear and Additive Models , Vector generalized linear and additive models, and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Reduced-Rank VGAMs). This package fits many models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination models in ecology. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 50 articles , 3 standard articles )

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  1. Huang, A.: On generalised estimating equations for vector regression (2017)
  2. Jouni Helske: KFAS: Exponential Family State Space Models in R (2017)
  3. Marra, Giampiero; Radice, Rosalba: A joint regression modeling framework for analyzing bivariate binary data in $\mathsfR$ (2017)
  4. Mauricio Sarrias and Ricardo Daziano: Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package (2017)
  5. Michael J. Wurm, Paul J. Rathouz, Bret M. Hanlon: Regularized Ordinal Regression and the ordinalNet R Package (2017) arXiv
  6. Rafael Moral; John Hinde; Clarice Demétrio: Half-Normal Plots and Overdispersed Models in R: The hnp Package (2017)
  7. Sáez-Castillo, Antonio J.; Conde-Sánchez, Antonio: Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model (2017)
  8. Tobias Liboschik; Konstantinos Fokianos; Roland Fried: tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models (2017)
  9. Worku, Hailemichael M.; De Rooij, Mark: Properties of ideal point classification models for bivariate binary data (2017)
  10. Fullerton, Andrew S.; Xu, Jun: Ordered regression models. Parallel, partial, and non-parallel alternatives (2016)
  11. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  12. M. Wojtys; Giampiero Marra; Rosalba Radice: Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel (2016)
  13. Pierre Lafaye de Micheaux and Viet Tran: PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Goodness-of-fit Tests in R (2016)
  14. Sellers, Kimberly F.; Morris, Darcy Steeg; Balakrishnan, Narayanaswamy: Bivariate Conway-Maxwell-Poisson distribution: formulation, properties, and inference (2016)
  15. Colin Gillespie: Fitting Heavy Tailed Distributions: The poweRlaw Package (2015)
  16. de Haan, Laurens; Tank, Albert Klein; Neves, Cláudia: On tail trend detection: modeling relative risk (2015)
  17. Leha, Andreas: Statistical methods to enhance clinical prediction with high-dimensional data and ordinal response (2015)
  18. Thomas Yee; Jakub Stoklosa; Richard Huggins: The VGAM Package for Capture-Recapture Data Using the Conditional Likelihood (2015)
  19. William Dunsmuir; David Scott: The glarma Package for Observation-Driven Time Series Regression of Counts (2015)
  20. Yee, Thomas W.: Vector generalized linear and additive models. With an implementation in R (2015)

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