R-fitODBOD
R-fitODBOD: A focused, open-source R workflow for binary outcomes and optimal-design studies. Ranked #93 of 106 in Statistical Analysis Software by our editors (3.0/10); pricing: Free plan; best for R users analyzing binary outcomes and optimal designs.
At a glance
- Editor score3.0 / 10
- PricingFree plan
- Best forR users analyzing binary outcomes and optimal designs
- Free planYes
- Paid fromFree
- Facts checked23 Sep 2026
Where it wins
- Reproducible analyses through R-script workflows
- Optimal-design calculations for design studies
- Open-source, self-hosted execution within R
Where it doesn't
- Requires local R execution and scripting
- Focused mainly on binary outcomes and optimal designs
- Support is provided through documentation
Our verdict on R-fitODBOD
R-fitODBOD is an open-source R package and project site for researchers and analysts working with optimal designs and binary-outcome data. It is designed for people who prefer reproducible R scripts over a commercial graphical application, with model-fitting procedures that support design studies. Local execution keeps the workflow within the R environment and suits solo, small, and mid-market teams that manage their own analysis setup.
The published model is open source with a free plan, rather than a tiered commercial subscription. Its practical ecosystem fit is R itself: installation material and package documentation support local use, while the listed deployment model is self-hosted. Analysts can build script-based workflows around binary-outcome analysis, optimal-design calculations, and model fitting without moving their work into a separate hosted application. This approach favors teams already comfortable with R-based statistical work and reproducibility.
Its standout strength is the combination of binary-outcome analysis and optimal-design calculations in one focused package, including procedures for fitting models in design studies. That narrow scope can be useful when those methods are central to a project, but it is less suitable for analysts seeking a broad statistical workbench, a graphical interface, or capabilities outside the documented design and binary-outcome focus. Choose R-fitODBOD when local, script-driven analysis is a priority; consider a broader statistical application when varied methods, managed hosting, or a different interaction model matters more.
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R-fitODBOD pricing
R-fitODBOD fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Not verified |
| Statistical tests | Not verified |
| Regression models | Not verified |
| Scripting support | Yes |
| Bayesian analysis | Not verified |
| Data import formats | Not verified |
| Deployment | Self-hosted |
| Support | Docs |
| Built for | Solo, Small business, Mid-market (editorial estimate) |
| Pricing | Free plan |
| Website | amalan-constat.github.io |
| Facts checked | 23 Sep 2026 |
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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