Welcome to CompressedFisher’s documentation!

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 (2022) and Coulton et al (2022b).

Note

Please report any requests via a github issue

Check out the Usage section for further information, including how to install the project.

Contents:

• Usage
  • Installation
  • Basic Usage
  • Examples
• API
  • baseFisher
  • gaussianFisher
  • poissonFisher

Indices and tables

• Index

• Module Index

• Search Page