# drtran-python

> drtran-python — davidesg-drtran-python. Use this tool when you need to build and analyze Box-Jenkins transfer function models using exact maximum likelihood estimation. It solves problems in time series analysis and forecasting, providing inputs such as model specifications and outputting optimized model parameters. Ideal for use cases involving complex system modeling and prediction, where accurate transfer function estimation is crucial.

Canonical page: https://skillsregistry.net/skills/davidesg-drtran-python  
JSON: https://api.skillsregistry.net/v1/skills/davidesg-drtran-python

## Description

Box-Jenkins transfer function models by exact maximum likelihood — Python port of drtran. Ships mtram, an MCP server for LLM-driven transfer-model building

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/davidesg/drtran-python)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "davidesg-drtran-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidesg-drtran-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidesg-drtran-python/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt