Fix bug in fit_laplace when model has exactly one variable #437
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Why not use the numpy one that doesn't have that stupid squeeze behavior? |
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When a mean vector has exactly one element,
scipy.stats.multivariate_normal.rvssqueezes the leading dimension, which was causing errors infit_laplacefor models with exactly one parameter.This PR patches the behavior by adding a check for this corner case.