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<p class="caption"><span class="caption-text">Examples</span></p>
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<li class="toctree-l1"><a class="reference internal" href="/examples/example1/">Example 1: An associative learning model and blocking</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/associative-learning/">Two associative learning models and blocking (cpm.models, cpm.generators)</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/example2/">Example 2: Reinforcement learning with a two-armed bandit.</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/bandit-task/">Reinforcement learning with a two-armed bandit (cpm.models, cpm.generators, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/example3/">Example 3: Estimating Empirical Priors</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/metacognition/">Estimating metacognitive efficiency with meta-d (cpm.applications)</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/example4/">Example 4: Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/model-parameter-recovery/">Parameter Recovery (cpm.generators, cpm.models, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/example5/">Example 5: Estimating meta-d (metacognitive efficiency)</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/model-recovery/">Model Recovery and Landscaping (cpm.models, cpm.generators, cpm.optimisation)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="/examples/fitting-hierarchical-estimation/">Estimating Empirical Priors (cpm.hierarchical)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="/examples/fitting-hierarchical/">Exploring hierarchical estimation of hyperparameters (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="/examples/hpc-example/">Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example1/">Example 1: An associative learning model and blocking</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/associative-learning/">Two associative learning models and blocking (cpm.models, cpm.generators)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example2/">Example 2: Reinforcement learning with a two-armed bandit.</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/bandit-task/">Reinforcement learning with a two-armed bandit (cpm.models, cpm.generators, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example3/">Example 3: Estimating Empirical Priors</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/metacognition/">Estimating metacognitive efficiency with meta-d (cpm.applications)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example4/">Example 4: Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/model-parameter-recovery/">Parameter Recovery (cpm.generators, cpm.models, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example5/">Example 5: Estimating meta-d (metacognitive efficiency)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/model-recovery/">Model Recovery and Landscaping (cpm.models, cpm.generators, cpm.optimisation)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/fitting-hierarchical-estimation/">Estimating Empirical Priors (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/fitting-hierarchical/">Exploring hierarchical estimation of hyperparameters (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/hpc-example/">Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example1/">Example 1: An associative learning model and blocking</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/associative-learning/">Two associative learning models and blocking (cpm.models, cpm.generators)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example2/">Example 2: Reinforcement learning with a two-armed bandit.</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/bandit-task/">Reinforcement learning with a two-armed bandit (cpm.models, cpm.generators, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example3/">Example 3: Estimating Empirical Priors</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/metacognition/">Estimating metacognitive efficiency with meta-d (cpm.applications)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example4/">Example 4: Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/model-parameter-recovery/">Parameter Recovery (cpm.generators, cpm.models, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example5/">Example 5: Estimating meta-d (metacognitive efficiency)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/model-recovery/">Model Recovery and Landscaping (cpm.models, cpm.generators, cpm.optimisation)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/fitting-hierarchical-estimation/">Estimating Empirical Priors (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/fitting-hierarchical/">Exploring hierarchical estimation of hyperparameters (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/hpc-example/">Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example1/">Example 1: An associative learning model and blocking</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/associative-learning/">Two associative learning models and blocking (cpm.models, cpm.generators)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example2/">Example 2: Reinforcement learning with a two-armed bandit.</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/bandit-task/">Reinforcement learning with a two-armed bandit (cpm.models, cpm.generators, cpm.optimisation)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example3/">Example 3: Estimating Empirical Priors</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/metacognition/">Estimating metacognitive efficiency with meta-d (cpm.applications)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example4/">Example 4: Scale to hypercomputing cluster</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/model-parameter-recovery/">Parameter Recovery (cpm.generators, cpm.models, cpm.optimisation)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/example5/">Example 5: Estimating meta-d (metacognitive efficiency)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/model-recovery/">Model Recovery and Landscaping (cpm.models, cpm.generators, cpm.optimisation)</a>
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</li>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/fitting-hierarchical-estimation/">Estimating Empirical Priors (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/fitting-hierarchical/">Exploring hierarchical estimation of hyperparameters (cpm.hierarchical)</a>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/hpc-example/">Scale to hypercomputing cluster</a>
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