References in zbMATH (referenced in 130 articles )

Showing results 1 to 20 of 130.
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  1. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  2. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  3. Barrientos, Andrés F.; Peña, Víctor: Bayesian bootstraps for massive data (2020)
  4. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  5. 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
  6. Galimberti, Giuliano; Soffritti, Gabriele: Seemingly unrelated clusterwise linear regression (2020)
  7. Kappenberg, Franziska; Rahnenführer, Jörg: Book review of: C. Ritz et al., Dose response analysis using R (2020)
  8. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  9. Ritz, Christian; Jensen, Signe Marie; Gerhard, Daniel; Streibig, Jens Carl: Dose-response analysis using R (2020)
  10. Tomás Capretto, Camen Piho, Ravin Kumar, Jacob Westfall, Tal Yarkoni, Osvaldo A. Martin: Bambi: A simple interface for fitting Bayesian linear models in Python (2020) arXiv
  11. Yang, Yu-Chen; Lin, Tsung-I; Castro, Luis M.; Wang, Wan-Lun: Extending finite mixtures of (t) linear mixed-effects models with concomitant covariates (2020)
  12. Addo, E. jun.; Chanda, E. K.; Metcalfe, A. V.: Spatial pair-copula model of grade for an anisotropic gold deposit (2019)
  13. Ann-Kristin Kreutzmann; Sören Pannier; Natalia Rojas-Perilla; Timo Schmid; Matthias Templ; Nikos Tzavidis: The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators (2019) not zbMATH
  14. Geraci, Marco: Modelling and estimation of nonlinear quantile regression with clustered data (2019)
  15. Graf, Monique; Marín, J. Miguel; Molina, Isabel: A generalized mixed model for skewed distributions applied to small area estimation (2019)
  16. Haziq Jamil, Wicher Bergsma: iprior: An R Package for Regression Modelling using I-priors (2019) arXiv
  17. Lee, Wonyul; Miranda, Michelle F.; Rausch, Philip; Baladandayuthapani, Veerabhadran; Fazio, Massimo; Downs, J. Crawford; Morris, Jeffrey S.: Bayesian semiparametric functional mixed models for serially correlated functional data, with application to glaucoma data (2019)
  18. Mies, Fabian; Steland, Ansgar: Nonparametric Gaussian inference for stable processes (2019)
  19. Singer, Julio M.; Rocha, Francisco M. M.; André, Carmen D. S.; Zerbini, Talita: Fitting mixed models to messy longitudinal data: a case study involving estimation of post mortem intervals (2019)
  20. Tanaka, Emi; Hui, Francis K. C.: Symbolic formulae for linear mixed models (2019)

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