Motivation | Key parameters | One-factor augmentation | Step 1: compute the candidate region | Step 2: choose a point and augment | Comparing efficiency before and after | Using the optimal design as reference (calc_optimal_design = TRUE) | Two-factor augmentation | Initial design and candidate region | Three-factor augmentation | Augmenting with Ds-Optimality | Interactive mode

The optimal design problem | A first example: D-Optimality in one factor | Other optimality criteria | Ds-Optimality | A-Optimality | I-Optimality | L-Optimality | Multi-dimensional design spaces | Two-factor model: bisubstrate Michaelis-Menten | Three factors and beyond | Compound criterion | Design efficiency | Rounding to exact designs | efficient_round() | combinatorial_round()

Background | API overview | Example 1: Michaelis-Menten vs linear rival (Normal, 1D) | Example 2: exponential decay, Poisson family | Using make_kl_fun() for custom KL functions | Supported pairs | Example 3: Normal with different variances (1D) | Example 4: two-factor MM vs linear rival (make_kl_fun, 2D) | Example 5: discriminating error structures — the Hill model