Package: GPP 0.1

GPP: Gaussian Process Projection

Estimates a counterfactual using Gaussian process projection. It takes a dataframe, creates missingness in the desired outcome variable and estimates counterfactual values based on all information in the dataframe. The package writes Stan code, checks it for convergence and adds artificial noise to prevent overfitting and returns a plot of actual values and estimated counterfactual values using r-base plot.

Authors:Devin P. Brown [aut], David Carlson [aut, cre]

GPP_0.1.tar.gz
GPP_0.1.zip(r-4.5)GPP_0.1.zip(r-4.4)GPP_0.1.zip(r-4.3)
GPP_0.1.tgz(r-4.5-any)GPP_0.1.tgz(r-4.4-any)GPP_0.1.tgz(r-4.3-any)
GPP_0.1.tar.gz(r-4.5-noble)GPP_0.1.tar.gz(r-4.4-noble)
GPP_0.1.tgz(r-4.4-emscripten)GPP_0.1.tgz(r-4.3-emscripten)
GPP.pdf |GPP.html
GPP/json (API)

# Install 'GPP' in R:
install.packages('GPP', repos = c('https://aitask.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 169 downloads 79 mentions 5 exports 52 dependencies

Last updated 4 years agofrom:f21ba02079. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-winOKMar 17 2025
R-4.5-macOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-winOKMar 17 2025
R-4.4-macOKMar 17 2025
R-4.4-linuxOKMar 17 2025
R-4.3-winOKMar 17 2025
R-4.3-macOKMar 17 2025

Exports:autoConvergeGPPplotGPPfitrunModwriteMod

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr