v0.1.0

Major changes

• use Woodbury identity for grouped random effects models -> faster inference for grouped random effects / mixed effects models
• no profiling out of error variance for Fisher scoring -> faster learning of covariance paramters
• add functionality that negative log-likelihood can be evaluated