v1.5.6

faster prediction with single-level grouped random effects
shape parameter of Matern covariance can be estimated (cov_function = ‘matern_estimate_shape’, ‘matern_ard_estimate_shape’)
[R-package] make hyperparameter tuning functions more stable
use median distance instead of mean distance to initialize range parameters of GPs
change default initial values for range parameters of binary and categorical features for ARD covariance functions
change response variable prediction for 't' likelihood to avoid crashes in parameter tuning: simply add the squared 'scale' parameter to the variances of the latent predictions
make predictions with Vecchia approximations numerically more stable for non-Gaussian likelihoods

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