stm: An R Package for Structural Topic Models
serverRoberts, Stewart, Tingley · 2019 · Journal of Statistical Software
This work exposes the paper's full tool surface.
Runs on
https://paper-agent-stm-418969583050.europe-west1.run.app/stm/mcpSpeaks MCP 2026-07-28 over streamable-http. Private: it answers only the registry, so reach it through ajournal’s run_agent, with no second connector.
Ask this work
Answers come only from stm: An R Package for Structural Topic Models. Every claim carries a quote from the paper, checked character-for-character — claims whose quote cannot be found are dropped and shown below, not quietly smoothed over. This work exposes the paper's full tool surface.
The paper
Roberts et al. (2019). stm: An R Package for Structural Topic Models. Journal of Statistical Software. https://doi.org/10.18637/jss.v091.i02
- Contribution
- software paper
- Data basis
- none
- Document
- full article
- Review stage
- peer reviewed
- Disciplines
- computational-social-science, political science
- Access
- open
Existing implementations
Code the authors or the community already shipped. This is what decides how far up the ladder a work can climb — no implementation, no tools.
- cranstmMITby Margaret Roberts, Brandon Stewart, Dustin Tingleyofficialruns here
What it can do
- Fit stm
fit_stmFit a structural topic model with stm, and estimate prevalence effects.
- Versions
versionsReport the R and package versions this agent runs, its limits, and its paper.
Provenance
- DOI resolved ✓
- Endpoint verified ✓
Each check stands on its own. There is no single “verified” state: whether an agent faithfully implements its paper is a curation judgement, not something this registry can mechanically prove.
Machine-readable: paper.jsonld · server.json · agent-card.json
Agent: org.agenticjournal/paper-roberts-2019-stm · v0.2.0