bamlss

R package bamlss: Bayesian Additive Models for Location Scale and Shape (and Beyond). Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2017) <doi:10.1080/10618600.2017.1407325>.


References in zbMATH (referenced in 11 articles , 2 standard articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Bonner, S., Kim, H.-N., Westneat, D., Mutzel, A., Wright, J., Schofield, M.: dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble (2021) not zbMATH
  2. Fasiolo, M., Wood, S. N., Zaffran, M., Nedellec, R., Goude, Y. : qgam: Bayesian Nonparametric Quantile Regression Modeling in R (2021) not zbMATH
  3. Umlauf, N., Klein, N., Simon, T., Zeileis, A: bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) (2021) not zbMATH
  4. Emma C. Martin, Alessandro Gasparini, Michael J. Crowther: merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models (2020) arXiv
  5. Groll, Andreas; Hambuckers, Julien; Kneib, Thomas; Umlauf, Nikolaus: LASSO-type penalization in the framework of generalized additive models for location, scale and shape (2019)
  6. Kneib, Thomas; Klein, Nadja; Lang, Stefan; Umlauf, Nikolaus: Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions (2019)
  7. Mathieu Fauvernier; Laurent Remontet; Zoé Uhry; Nadine Bossard; Laurent Roche: survPen: an R package for hazard and excess hazard modelling with multidimensional penalized splines (2019) not zbMATH
  8. Umlauf, Nikolaus; Klein, Nadja; Zeileis, Achim: BAMLSS: Bayesian additive models for location, scale, and shape (and beyond) (2018)
  9. Umlauf, Nikolaus; Kneib, Thomas: A primer on Bayesian distributional regression (2018)
  10. Köhler, Meike; Umlauf, Nikolaus; Beyerlein, Andreas; Winkler, Christiane; Ziegler, Anette-Gabriele; Greven, Sonja: Flexible Bayesian additive joint models with an application to type 1 diabetes research (2017)
  11. Klein, Nadja; Kneib, Thomas; Lang, Stefan; Sohn, Alexander: Bayesian structured additive distributional regression with an application to regional income inequality in Germany (2015)