References in zbMATH (referenced in 75 articles )

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  1. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018)
  2. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018)
  3. 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)
  4. 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 \iteucalyptus trees (2017)
  5. 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)
  6. Francesco Bartolucci and Claudia Pigini: cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models (2017)
  7. Guido Masarotto and Cristiano Varin: Gaussian Copula Regression in R (2017)
  8. Jianxin Pan, Yi Pan: jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data (2017)
  9. Koscholke, Jakob; Jekel, Marc: Probabilistic coherence measures: a psychological study of coherence assessment (2017)
  10. Kühnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau: Most likely separation of intensity and warping effects in image registration (2017)
  11. Nora Umbach and Katharina Naumann and Holger Brandt and Augustin Kelava: Fitting Nonlinear Structural Equation Models in R with Package nlsem (2017)
  12. Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant: Boosted multivariate trees for longitudinal data (2017)
  13. Paul-Christian Buerkner: Bayesian Distributional Non-Linear Multilevel Modeling with the R Package brms (2017) arXiv
  14. Abebe, Asheber; McKean, Joseph W.; Kloke, John D.; Bilgic, Yusuf K.: Iterated reweighted rank-based estimates for GEE models (2016)
  15. Herschtal, Alan; Foroudi, Farshad; Kron, Tomas; Mengersen, Kerrie: A comparison of Bayesian models of heteroscedasticity in nested normal data (2016)
  16. Huque, Md Hamidul; Bondell, Howard D.; Carroll, Raymond J.; Ryan, Louise M.: Spatial regression with covariate measurement error: A semiparametric approach (2016)
  17. Kogan, Clark; Kalachev, Leonid; Van Dongen, Hans P. A.: Prediction accuracy in multivariate repeated-measures Bayesian forecasting models with examples drawn from research on sleep and circadian rhythms (2016)
  18. Lee, Cathy Yuen Yi; Wand, Matt P.: Streamlined mean field variational Bayes for longitudinal and multilevel data analysis (2016)
  19. Manuel Koller: robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models (2016)
  20. Meneses, Antonio; Naya, Salvador; López-de-Ullibarri, Ignacio; Tarrío-Saavedra, Javier: Nonparametric method for estimating the distribution of time to failure of engineering materials (2016)

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