Metida.jl is a Julia package for fitting mixed-effects models with flexible covariance structure.

Implemented covariance structures:

- Scaled Identity (SI)
- Diagonal (DIAG)
- Autoregressive (AR)
- Heterogeneous Autoregressive (ARH)
- Compound Symmetry (CS)
- Heterogeneous Compound Symmetry (CSH)
- Autoregressive Moving Average (ARMA)

All structures can be applied to the random (G) or repeated ® part of the variance-covariance matrix (V). Where:

`V = ZGZ' + R`

Documentation available here.

v0.2.3

- Documentation
- FullDummyCoding fix
- FunctionTerm fix