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Candl-like is a differentiable likelihood framework for performing Bayesian data analysis on cosmological measurements. Some key features are JAX-compatibility, allowing for fast and easy computation of gradients and Hessians of the likelihoods; support for the latest public data releases from the South Pole Telescope and Atacama Cosmology Telescope collaborations; interface tools for work with other popular cosmology software packages (e.g. Cobaya and MontePython).
| Package | Summary | Distribution | Download |
| python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.html | A differentiable likelihood framework for Bayesian analysis | Mageia Cauldron for armv7hl | python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.rpm |
| python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.html | A differentiable likelihood framework for Bayesian analysis | Mageia Cauldron for i686 | python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.rpm |
| python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.html | A differentiable likelihood framework for Bayesian analysis | Mageia Cauldron for x86_64 | python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.rpm |
| python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.html | A differentiable likelihood framework for Bayesian analysis | Mageia Cauldron for aarch64 | python3-candl-like-2.0.3-0.git20250712.1.mga10.noarch.rpm |
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