API Reference#
The API reference is generated from the package’s NumPy-style docstrings. Module pages are intentionally organized by public subpackage so the reference can grow without losing the small-library overview.
Prior distributions for simulation parameters. |
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Transition models for latent time-varying parameters. |
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Simulation models and built-in cognitive simulators. |
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Cognitive-model simulators. |
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Workflow orchestration for amortized Bayesian inference. |
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Neural network components for superstats workflows. |
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Metrics and plotting helpers for validating superstats workflows. |
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Plotting functions for priors, posteriors, and recovery diagnostics. |
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Default configuration values used across superstats. |
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General utility functions used across superstats. |