MixedModels.jl Documentation

MixedModels.jl is a Julia package providing capabilities for fitting and examining linear and generalized linear mixed-effect models. It is similar in scope to the lme4 package for R.

• Model constructors
  • Examples of linear mixed effects model fits
  • Fitting generalized linear mixed models
• Extractor functions
  • Model fit statistics
  • Fixed effects parameter estimates
  • Covariance parameter estimates
  • Conditional modes of the random effects
  • Case wise diagnostics and residual degrees of freedom
• Details of the parameter estimation
  • The probability model
  • Linear Mixed Effects Models
  • Internal structure of random effects coefficients and model matrix
  • A blocked Cholesky factor
  • Generalized Linear Mixed Effects Models
• Normalized Gauss Hermite Quadrature
  • Evaluating the weights and abscissae
  • Application to a model for contraception use
• Parametric bootstrap for mixed effects models
  • The parametric bootstrap
  • Reduced Precision Bootstrap
  • Distributed Computing and the Bootstrap
• Rank deficiency in mixed effects models
  • Fixed effects
  • Random effects
• Alternative display and output formats