logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations
serverHelveston · 2023 · Journal of Statistical Software
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The paper
Helveston (2023). logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations. Journal of Statistical Software. https://doi.org/10.18637/jss.v105.i10
- Contribution
- software paper
- Data basis
- none
- Document
- full article
- Review stage
- peer reviewed
- Disciplines
- marketing, econometrics
- 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.
- cranlogitrMITby John Helvestonofficialruns here
What it can do
- Fit logit
fit_logitFit a multinomial or mixed logit in preference or WTP space.
- 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-helveston-2023-logitr · v0.2.0