RStan to PyStan Conversion

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This skill facilitates the migration of Bayesian inference workflows from R to Python by providing specific guidance on the architectural differences between RStan and PyStan 3.x. While the core Stan modeling language is language-agnostic, the wrapper code for data preparation, sampler configuration, and posterior extraction requires careful translation. This skill offers precise hyperparameter mapping, clarifies the critical transposition of sample shapes, and provides verification strategies to ensure that converted models produce consistent statistical results across both ecosystems.

Características Principales

• 16 GitHub stars
• Hyperparameter mapping between RStan and PyStan 3.x
• Guidelines for calculating equivalent sample counts and thinning
• Step-by-step conversion workflow for data dictionaries and environment setup
• Transposed sample extraction handling for PyStan 3.x
• Statistical verification strategies for ensuring result consistency

Casos de Uso

• Debugging dimension mismatches and environment issues in PyStan 3.x
• Translating complex Stan model wrappers for cross-platform research
• Migrating Bayesian research models from R to Python production pipelines