L2_regularized_objective(model, prior_FIM[, ...])
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Calculates objective + regularization_weight*(theta - theta_ref)^T * prior_FIM * (theta - theta_ref) using label-based alignment for safety and subsets for efficiency. |
SSE(model)
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Returns an expression that is used to compute the sum of squared errors ('SSE') objective, assuming Gaussian i.i.d. |
SSE_weighted(model)
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Returns an expression that is used to compute the 'SSE_weighted' objective, assuming Gaussian i.i.d. |
compute_covariance_matrix(experiment_list, ...)
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Computes the covariance matrix of the estimated parameters using 'finite_difference' or 'automatic_differentiation_kaug' methods |
ef_nonants(ef)
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group_data(data, groupby_column_name[, use_mean])
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DEPRECATED. |
validate_experiment_outputs(output_vars)
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Checks that: 1. |