pymc-extras
OfficialEnhance PyMC models with advanced features like splines, distributional regression, and R2D2M2CP priors.
Data & Analytics#pymc#bayesian analysis#advanced modeling#nonlinear effects#distributional regression
Authorpymc-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill extends PyMC models with sophisticated features, enabling more complex statistical modeling and analysis.
Core Features & Use Cases
- Advanced Splines: Integrate B-spline basis functions for nonlinear effects in models.
- Distributional Regression: Model full distribution parameters, not just means.
- R2D2M2CP Priors: Use a prior that reasons about the proportion of variance explained.
- Use Case: If you're building a model for insurance risk assessment and want to include non-Gaussian distributions or complex nonlinear relationships, this Skill can help you do that with PyMC.
Quick Start
Use the 'pymc-extras' skill to add splines to your PyMC model for a non-linear effect.
Dependency Matrix
Required Modules
pymcpymc-extras
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pymc-extras Download link: https://github.com/pymc-labs/python-analytics-skills/archive/main.zip#pymc-extras Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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