Gpboost

Latest version: v1.4.0

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0.1.0

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

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