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GPP  

Gaussian Process Projection
View on CRAN: Click here


Download and install GPP package within the R console
Install from CRAN:
install.packages("GPP")

Install from Github:
library("remotes")
install_github("cran/GPP")

Install by package version:
library("remotes")
install_version("GPP", "0.1")



Attach the package and use:
library("GPP")
Maintained by
David Carlson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-27
Latest Update: 2020-11-27
Description:
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.
How to cite:
David Carlson (2020). GPP: Gaussian Process Projection. R package version 0.1, https://cran.r-project.org/web/packages/GPP. Accessed 27 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited GPP R package
View GPP citation profile
Other R packages that GPP depends, imports, suggests or enhances
Complete documentation for GPP
Functions, R codes and Examples using the GPP R package
Some associated functions: GDPdata . GPP . autoConverge . plotGPPfit . runMod . writeMod . 
Some associated R codes: GPP.R . autoConverge.R . data.R . plotGPPfit.R . runMod.R . writeMod.R .  Full GPP package functions and examples
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