{ "_id": "6a2be0003efcd9bda42cb617", "Package": "RegCombin", "Title": "Partially Linear Regression under Data Combination", "Version": "0.4.1", "Authors@R": "c(person(\"Xavier\", \"D'Haultfoeuille\", email = \"xavier.dhaultfoeuille@ensae.fr\", role = c(\"aut\")),\nperson(\"Christophe\", \"Gaillac\", email = \"christophe.gaillac@economics.ox.ac.uk\", role = c(\"aut\", \"cre\")),\nperson(\"Arnaud\", \"Maurel\", email = \"arnaud.maurel@duke.edu\", role = c(\"aut\")))", "Description": "We implement linear regression when the outcome of\ninterest and some of the covariates are observed in two\ndifferent datasets that cannot be linked, based on\nD'Haultfoeuille, Gaillac, Maurel (2022) .\nThe package allows for common regressors observed in both\ndatasets, and for various shape constraints on the effect of\ncovariates on the outcome of interest. It also provides the\ntools to perform a test of point identification. See the\nassociated vignette\n\nfor theory and code examples.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-12 10:28:13 UTC", "User": "root" }, "Author": "Xavier D'Haultfoeuille [aut], Christophe Gaillac [aut, cre],\nArnaud Maurel [aut]", "Maintainer": "Christophe Gaillac ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-10-16 13:31:04 UTC", "RemoteUrl": "https://github.com/cran/RegCombin", "RemoteRef": "HEAD", "RemoteSha": "12e2130cc66f4b5fbe910ea416bb2e515de2a4bf", "MD5sum": "b601aea50fe1221c24d2d2daa9faabb6", "_user": "cran", "_type": "src", "_file": "RegCombin_0.4.1.tar.gz", "_fileid": "a3279924f984b8116aa3e5df4b00ee12a7d171ab8009c738a038c311d8ce0ecf", "_filesize": 220195, "_sha256": "a3279924f984b8116aa3e5df4b00ee12a7d171ab8009c738a038c311d8ce0ecf", "_created": "2026-06-12T10:28:13.000Z", "_published": "2026-06-12T10:31:28.822Z", "_distro": "noble", "_jobs": [ { "job": 81008848702, "time": 159, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7589198514" }, { "job": 81008848697, "time": 152, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7589196654" }, { "job": 81008384113, "time": 178, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7589144678" }, { "job": 81008848684, "time": 124, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7589186788" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27409915473", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/RegCombin", "_commit": { "id": "12e2130cc66f4b5fbe910ea416bb2e515de2a4bf", "author": "Christophe Gaillac ", "committer": "cran-robot ", "message": "version 0.4.1\n", "time": 1697463064 }, "_maintainer": { "name": "Christophe Gaillac", "email": "christophe.gaillac@economics.ox.ac.uk" }, "_registered": true, "_dependencies": [ { "package": "dplyr", "role": "Imports" }, { "package": "kableExtra", "role": "Imports" }, { "package": "snowfall", "role": "Imports" }, { "package": "RationalExp", "role": "Imports" }, { "package": "Hmisc", "role": "Imports" }, { "package": "geometry", "role": "Imports" }, { "package": "pracma", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 162, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RegCombin" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/RegCombin.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.2.1", "date": "2023-03-01" }, { "version": "0.3.1", "date": "2023-09-07" }, { "version": "0.4.1", "date": "2023-10-16" } ], "_exports": [ "DGM_bounds", "point_ident_test", "regCombin", "regCombin_profile", "summary_regCombin" ], "_help": [ { "page": "AS_bounds", "title": "This function finds the boundary of the identified set in one specified direction using the AS test and Newton's method.", "topics": [ "AS_bounds" ] }, { "page": "AStest", "title": "This function computes the AS test using DGM implementation in the package RationalExp", "topics": [ "AStest" ] }, { "page": "compute_bnds_betac", "title": "Function to compute the bounds on the coefficients of the common regressors.", "topics": [ "compute_bnds_betac" ] }, { "page": "compute_constraints", "title": "Compute the indexes of the values of the common regressors Xc used in the various shape constraints", "topics": [ "compute_constraints" ] }, { "page": "compute_radial", "title": "Function to compute the DGM bounds on the noncommon regressor Xnc", "topics": [ "compute_radial" ] }, { "page": "compute_radial_test", "title": "Function to compute the DGM bounds on the noncommon regressor Xnc, adapted to the point identification test.", "topics": [ "compute_radial_test" ] }, { "page": "compute_ratio", "title": "Function to compute the main statistic for the point estimate", "topics": [ "compute_ratio" ] }, { "page": "compute_ratio_variance", "title": "Function to compute the variance bounds", "topics": [ "compute_ratio_variance" ] }, { "page": "compute_stat_variance", "title": "Function to compute the Variance bounds on the noncommon regressor Xnc", "topics": [ "compute_stat_variance" ] }, { "page": "compute_support", "title": "Compute the support function for the projections of the identified set", "topics": [ "compute_support" ] }, { "page": "compute_support_paral", "title": "Function to minimize to compute the function sigma for the projections of the identified set", "topics": [ "compute_support_paral" ] }, { "page": "create_values", "title": "Function to create the matrix of the support points for the common regressors Xc", "topics": [ "create_values" ] }, { "page": "DGM_bounds", "title": "This function compute the DGM bounds for all the different coefficients.", "topics": [ "DGM_bounds" ] }, { "page": "DGM_bounds_test", "title": "This function compute the DGM bounds for all the different coefficients, adapted to the point identification test.", "topics": [ "DGM_bounds_test" ] }, { "page": "ewcdf", "title": "Compute the weighted empirical cumulative distribution", "topics": [ "ewcdf" ] }, { "page": "objective_support", "title": "Internal function to minimize to compute the function sigma for the projections of the identified set", "topics": [ "objective_support" ] }, { "page": "point_ident_test", "title": "Function performing the test of point identification on a validation sample.", "topics": [ "point_ident_test" ] }, { "page": "regCombin", "title": "Function computing all the different bounds : DGM and/or Variance", "topics": [ "regCombin" ] }, { "page": "regCombin_profile", "title": "Computing the DGM bounds for different values of epsilon, proportional to the data-driven selected one", "topics": [ "regCombin_profile" ] }, { "page": "sampling_rule", "title": "The subsampling rule", "topics": [ "sampling_rule" ] }, { "page": "select_epsilon", "title": "Function for the data-driven selection of the epsilon tuning parameter", "topics": [ "select_epsilon" ] }, { "page": "select_epsilon_test", "title": "Function for the data-driven selection of the epsilon tuning parameter, adapted to the point identification test.", "topics": [ "select_epsilon_test" ] }, { "page": "summary_regCombin", "title": "Produce the final summary table for the output of the felogit function", "topics": [ "summary_regCombin" ] }, { "page": "tabulate_values", "title": "Function to tabulate the values the common regressors Xc whatever the dimension.", "topics": 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