Side by side
GPCERF vs IDCeMPy
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Self-hosted
GPCERF provides documented Bayesian Gaussian-process workflows for causal exposure analysis. Its archived CRAN status and additional R dependencies are important considerations before adoption.
Visit GPCERF Free plan
IDCeMPy offers specialized inflated-choice models alongside standard alternatives and model diagnostics. Correlated-error specifications may require considerably more runtime, so model choice should account for that cost.
Visit IDCeMPyThe facts
| GPCERF | IDCeMPy | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Self-hosted | Not published |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | nsaph-software.github.io | idcempy.readthedocs.io |
| On statistical analysis software | #74 of 106 | #78 of 106 |
GPCERF: what it does well
- Free plan with GPL (>= 3) license
- Provides Gaussian process and nearest-neighbor methods
- Produces pointwise 95% credible bands
- Supports causal exposure-response workflows
- Nearest-neighbor example reports shorter runtime
What to know first
- Archived and removed from CRAN on 2026-01-12
- Examples require the ranger R package
- Installation uses the GitHub develop branch
IDCeMPy: what it does well
- Free Python package
- Several inflated model families
- AIC, likelihood, and Vuong diagnostics
- CSV, Stata, and DataFrame inputs
- Predictions and marginal effects
What to know first
- Correlated-error models run substantially longer
- Runtime depends on observations and covariates
- Examples use additional Python packages
Alternatives to GPCERF Alternatives to IDCeMPy The whole list