Compressed Fisher is a Python library containing tools for testing if Fisher forecasts using simulated components are converged. The library contains tools to compute standard Fisher estimates, estimate the level of bias due to the finite number of simulations, and compute the compressed Fisher information, as described Coulton & Wandelt (2023) and Coulton et al (2022b).
Please refer to the documentation or the examples provided in the examples folder to learn how to get started.
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