References in zbMATH (referenced in 94 articles )

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  1. Ritz, Christian; Jensen, Signe Marie; Gerhard, Daniel; Streibig, Jens Carl: Dose-response analysis using R (2020)
  2. 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)
  3. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  4. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  5. Lars Rönnegård, Xia Shen, Moudud Alam: hglm: A Package for Fitting Hierarchical Generalized Linear Models (2018) not zbMATH
  6. Odile Sauzet; Jannik Rehse; Janne Helene Breiding: DistdichoR a R Package for the distributional dichotomisation of continuous outcomes (2018) arXiv
  7. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  8. Agasisti, Tommaso; Ieva, Francesca; Paganoni, Anna Maria: Heterogeneity, school-effects and the north/south achievement gap in Italian secondary education: evidence from a three-level mixed model (2017)
  9. Capes, Hannah; Maillardet, Robert J.; Baker, Thomas G.; Weston, Christopher J.; McGuire, Don; Dumbrell, Ian C.; Robinson, Andrew P.: The allometric quarter-power scaling model and its applicability to grand fir and \textiteucalyptustrees (2017)
  10. Elston, D. A.; Brewer, M. J.; Martay, B.; Johnston, A.; Henrys, P. A.; Bell, J. R.; Harrington, R.; Monteith, D.; Brereton, T. M.; Boughey, K. L.; Pearce-Higgins, J. W.: A new approach to modelling the relationship between annual population abundance indices and weather data (2017)
  11. Francesco Bartolucci and Claudia Pigini: cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models (2017) not zbMATH
  12. Grimm, Kevin J.; Ram, Nilam; Estabrook, Ryne: Growth modeling. Structural equation and multilevel modeling approaches (2017)
  13. Guido Masarotto and Cristiano Varin: Gaussian Copula Regression in R (2017) not zbMATH
  14. Jianxin Pan, Yi Pan: jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data (2017) not zbMATH
  15. Koscholke, Jakob; Jekel, Marc: Probabilistic coherence measures: a psychological study of coherence assessment (2017)
  16. Kühnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau: Most likely separation of intensity and warping effects in image registration (2017)
  17. Nora Umbach and Katharina Naumann and Holger Brandt and Augustin Kelava: Fitting Nonlinear Structural Equation Models in R with Package nlsem (2017) not zbMATH
  18. Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant: Boosted multivariate trees for longitudinal data (2017)
  19. Paul-Christian Buerkner: Bayesian Distributional Non-Linear Multilevel Modeling with the R Package brms (2017) arXiv
  20. Paul-Christian Bürkner: brms: An R Package for Bayesian Multilevel Models Using Stan (2017) not zbMATH

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