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
- 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 $\Lambda_\theta$ and $\bf Z$
- A blocked Cholesky factor
- Generalized Linear Mixed-Effects Models
- Normalized Gauss-Hermite Quadrature
- Parametric bootstrap for mixed-effects models
- Rank deficiency in mixed-effects models
- Alternative display and output formats