lme4

R package lme4: Linear mixed-effects models using S4 classes , Fit linear and generalized linear mixed-effects models. This is the implementation of lme4 available on CRAN and developed up to 2011. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 138 articles , 1 standard article )

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  1. Virgilio Gómez-Rubio; Paula Moraga; John Molitor; Barry Rowlingson: DClusterm: Model-Based Detection of Disease Clusters (2019) not zbMATH
  2. 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)
  3. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  4. Cabral, M. Salomé; Gonçalves, M. Helena: On fitting generalized linear mixed effects models for longitudinal binary data using different correlation structures (2018)
  5. Daniel Heck and Morten Moshagen: RRreg: An R Package for Correlation and Regression Analyses of Randomized Response Data (2018) not zbMATH
  6. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  7. Edgar Merkle; Yves Rosseel: blavaan: Bayesian Structural Equation Models via Parameter Expansion (2018) not zbMATH
  8. Lars Rönnegård, Xia Shen, Moudud Alam: hglm: A Package for Fitting Hierarchical Generalized Linear Models (2018) not zbMATH
  9. Mair, Patrick: Modern psychometrics with R (2018)
  10. M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat: aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution (2018) arXiv
  11. Peter Calhoun; Xiaogang Su;Martha Nunn; Juanjuan Fan: Constructing Multivariate Survival Trees: The MST Package for R (2018) not zbMATH
  12. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  13. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  14. Alexandra Kuznetsova; Per Brockhoff; Rune Christensen: lmerTest Package: Tests in Linear Mixed Effects Models (2017) not zbMATH
  15. Amatya, Anup; Demirtas, Hakan: PoisNor: an R package for generation of multivariate data with Poisson and normal marginals (2017)
  16. Bradley Saul; Michael Hudgens: A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R. (2017) not zbMATH
  17. Cheung, Pierina; Rubenson, Miriam; Barner, David: To infinity and beyond: children generalize the successor function to all possible numbers years after learning to count (2017) MathEduc
  18. Cho, Sun-Joo; Goodwin, Amanda P.: Modeling learning in doubly multilevel binary longitudinal data using generalized linear mixed models: an application to measuring and explaining word learning (2017)
  19. Davies, Vinny; Reeve, Richard; Harvey, William T.; Maree, Francois F.; Husmeier, Dirk: A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution (2017)
  20. Emmanuelle Comets; Audrey Lavenu; Marc Lavielle: Parameter Estimation in Nonlinear Mixed Effect Models Using saemix, an R Implementation of the SAEM Algorithm (2017) not zbMATH

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