GPCERF
The facts below are what the maker publishes about GPCERF, checked and dated. Our editors have not written about it yet.
The facts
Each one read from GPCERF's own pages, with the date it was checked.
What it does
- Bayesian analysis
- Yeschecked 23 Sep 2026
- Bayesian framework
- Its framework is nonparametric and Bayesian, based on Gaussian process priors.checked 12 Oct 2026
- Covariate adjustment
- The documented workflow converts covariate values into a composite generalized propensity score before fitting Gaussian processes.checked 12 Oct 2026
- Covariate processing
- The standard Gaussian process workflow converts covariate values into a composite score called the generalized propensity score before fitting Gaussian processes.checked 12 Oct 2026
- Curve estimation
- The standard Gaussian process workflow estimates an exposure-response function and visualizes a pointwise 95% credible band.checked 12 Oct 2026
- Deployment
- desktopchecked 23 Sep 2026
- Installation
- The repository README shows installation from GitHub with devtools using the develop branch.checked 12 Oct 2026
- Integration
- The documented examples use CausalGPS for synthetic data generation and GPS estimation, and ggplot2 for plotting.checked 12 Oct 2026
- Intended users
- The documented workflows estimate causal exposure-response functions from observational or simulated data.checked 12 Oct 2026
- License
- The project site lists the license as GPL (>= 3).checked 12 Oct 2026
- Maintenance status
- CRAN says GPCERF was removed on 2026-01-12 because issues were not corrected despite reminders.checked 12 Oct 2026
- Methods
- The package provides Gaussian process and nearest-neighbor Gaussian process approaches for nonparametric modeling.checked 12 Oct 2026
- Outputs
- The examples estimate exposure-response functions and plot pointwise 95% credible bands.checked 12 Oct 2026
- Purpose
- GPCERF estimates causal effects of a continuous exposure and detects change points in causal exposure-response curves using observational data.checked 12 Oct 2026
- R dependencies
- The repository installation example uses the R devtools package, and its usage note says examples also require the ranger R package.checked 12 Oct 2026
- Repository status
- The CRAN page says GPCERF was archived on 2026-01-12 because issues were not corrected despite reminders.checked 12 Oct 2026
- Runtime dependency
- The README notes that its usage examples also require the ranger R package.checked 12 Oct 2026
- Scaling option
- The nearest-neighbor Gaussian process example reports much shorter running time than the standard Gaussian process example.checked 12 Oct 2026
- Scripting support
- Yeschecked 23 Sep 2026
- Support
- The README directs users to report issues on GitHub and says they can seek assistance through GitHub Discussions or issues.checked 12 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
