References in zbMATH (referenced in 145 articles , 1 standard article )

Showing results 1 to 20 of 145.
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  1. Yoon, Hwan-Jin; Welsh, Alan H.: On the effect of ignoring correlation in the covariates when fitting linear mixed models (2020)
  2. 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
  3. Haziq Jamil, Wicher Bergsma: iprior: An R Package for Regression Modelling using I-priors (2019) arXiv
  4. Hui, F. K. C.; Müller, Samuel; Welsh, A. H.: Testing random effects in linear mixed models: another look at the F-test (with discussion) (2019)
  5. Rasch, Dieter; Verdooren, Rob; Pilz, Jürgen: Applied statistics. Theory and problem solutions with R (2019)
  6. Virgilio Gómez-Rubio; Paula Moraga; John Molitor; Barry Rowlingson: DClusterm: Model-Based Detection of Disease Clusters (2019) not zbMATH
  7. Wang, Mary Ying-Fang; Tuss, Paul; Qi, Lihong: Augmented weighted estimators dealing with practical positivity violation to causal inferences in a random coefficient model (2019)
  8. Zhang, Ningshan; Schmaus, Kyle; Perry, Patrick O.: Fitting a deeply nested hierarchical model to a large book review dataset using a moment-based estimator (2019)
  9. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  10. Cabral, M. Salomé; Gonçalves, M. Helena: On fitting generalized linear mixed effects models for longitudinal binary data using different correlation structures (2018)
  11. Daniel Heck and Morten Moshagen: RRreg: An R Package for Correlation and Regression Analyses of Randomized Response Data (2018) not zbMATH
  12. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  13. Edgar Merkle; Yves Rosseel: blavaan: Bayesian Structural Equation Models via Parameter Expansion (2018) not zbMATH
  14. Lars Rönnegård, Xia Shen, Moudud Alam: hglm: A Package for Fitting Hierarchical Generalized Linear Models (2018) not zbMATH
  15. Mair, Patrick: Modern psychometrics with R (2018)
  16. M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat: aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution (2018) arXiv
  17. Peter Calhoun; Xiaogang Su;Martha Nunn; Juanjuan Fan: Constructing Multivariate Survival Trees: The MST Package for R (2018) not zbMATH
  18. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  19. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  20. Alexandra Kuznetsova; Per Brockhoff; Rune Christensen: lmerTest Package: Tests in Linear Mixed Effects Models (2017) not zbMATH

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