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SPECIFICTION
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GPCERF

nsaph-software.github.io

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Spec sheet

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

Where Specifiction places it

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