Stats

apply_test_function(idata, func[, group, …])	Apply a Bayesian test function to an InferenceData object.
compare(dataset_dict[, ic, method, …])	Compare models based on PSIS-LOO loo or WAIC waic cross-validation.
hdi(ary[, hdi_prob, circular, multimodal, …])	Calculate highest density interval (HDI) of array for given probability.
loo(data[, pointwise, var_name, reff, scale])	Compute Pareto-smoothed importance sampling leave-one-out cross-validation (PSIS-LOO-CV).
loo_pit([idata, y, y_hat, log_weights])	Compute leave one out (PSIS-LOO) probability integral transform (PIT) values.
psislw(log_weights[, reff])	Pareto smoothed importance sampling (PSIS).
r2_score(y_true, y_pred)	R² for Bayesian regression models.
summary(data[, var_names, filter_vars, …])	Create a data frame with summary statistics.
waic(data[, pointwise, var_name, scale, …])	Compute the widely applicable information criterion.
kde(x[, circular])	One dimensional density estimation.

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