time-series-models
CommunityBayesian time-series modeling in Stan and JAGS.
Authorchoxos
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Bayesian time-series modeling provides probabilistic forecasts and uncertainty estimates for sequential data, enabling better decision making in dynamic contexts.
Core Features & Use Cases
- AR, MA, ARMA, and state-space models implemented in Stan and JAGS for flexible forecasting.
- Tools for model specification, diagnostics, and comparison of competing time-series structures.
- Use cases include forecasting demand, anomaly detection, and nowcasting in finance, engineering, epidemiology, and environmental monitoring.
Quick Start
Provide your time-series data and run the included Stan or JAGS workflows to fit AR/MA/ARMA/state-space models.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: time-series-models Download link: https://github.com/choxos/BiostatAgent/archive/main.zip#time-series-models Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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