{ "_id": "6a2535234b233be198397049", "Package": "GPP", "Title": "Gaussian Process Projection", "Version": "0.1", "Authors@R": "c( \nperson(\"Devin P.\", \"Brown\", email = \"devinpbrown96@gmail.com\", role = \"aut\"),\nperson(\"David\", \"Carlson\", email = \"carlson.david@wustl.edu\", role = c(\"aut\", \"cre\")))", "Description": "Estimates a counterfactual using Gaussian process\nprojection. It takes a dataframe, creates missingness in the\ndesired outcome variable and estimates counterfactual values\nbased on all information in the dataframe. The package writes\nStan code, checks it for convergence and adds artificial noise\nto prevent overfitting and returns a plot of actual values and\nestimated counterfactual values using r-base plot.", "LazyData": "true", "Encoding": "UTF-8", "License": "GPL (>= 2)", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-07 09:04:47 UTC", "User": "root" }, "Author": "Devin P. 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