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

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 134 articles , 1 standard article )

Showing results 1 to 20 of 134.
Sorted by year (citations)

1 2 3 ... 5 6 7 next

  1. Daniel Heck and Morten Moshagen: RRreg: An R Package for Correlation and Regression Analyses of Randomized Response Data (2018) not zbMATH
  2. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  3. Edgar Merkle; Yves Rosseel: blavaan: Bayesian Structural Equation Models via Parameter Expansion (2018) not zbMATH
  4. Lars Rönnegård, Xia Shen, Moudud Alam: hglm: A Package for Fitting Hierarchical Generalized Linear Models (2018) not zbMATH
  5. Mair, Patrick: Modern psychometrics with R (2018)
  6. M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat: aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution (2018) arXiv
  7. Peter Calhoun; Xiaogang Su;Martha Nunn; Juanjuan Fan: Constructing Multivariate Survival Trees: The MST Package for R (2018) not zbMATH
  8. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  9. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  10. Alexandra Kuznetsova; Per Brockhoff; Rune Christensen: lmerTest Package: Tests in Linear Mixed Effects Models (2017) not zbMATH
  11. Amatya, Anup; Demirtas, Hakan: PoisNor: an R package for generation of multivariate data with Poisson and normal marginals (2017)
  12. Bradley Saul; Michael Hudgens: A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R. (2017) not zbMATH
  13. 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
  14. 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)
  15. 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)
  16. 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
  17. Fuchs, Nicole; Pölz, Werner; Bathke, Arne C.: Confidence intervals for population means of partially paired observations (2017)
  18. Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
  19. Jeon, Minjeong; Rijmen, Frank; Rabe-Hesketh, Sophia: A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects (2017)
  20. Jianxin Pan, Yi Pan: jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data (2017) not zbMATH

1 2 3 ... 5 6 7 next