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(2021)\n, for cross-sectional and pooled\ndata, and the sample selection model as described in Greene\n(2010) , and applied in Dakpo et\nal. (2021) . Several possibilities in\nterms of optimization algorithms are proposed.", "License": "GPL (>= 3)", "URL": "https://github.com/hdakpo/sfaR", "BugReports": "https://github.com/hdakpo/sfaR/issues", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "Config/pak/sysreqs": "make texlive libssl-dev", "Repository": "https://hdakpo.r-universe.dev", "Date/Publication": "2026-05-05 09:35:00 UTC", "RemoteUrl": "https://github.com/hdakpo/sfar", "RemoteRef": "HEAD", "RemoteSha": "c16a1a56157ea154585fcb420cba21a74d5a3c88", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 06:54:22 UTC", "User": "root" }, "Author": "K Hervé Dakpo [aut, cre],\nYann Desjeux [aut],\nArne Henningsen [aut],\nLaure Latruffe [aut]", "Maintainer": "K Hervé Dakpo ", "MD5sum": "73bf4c952ea57b139db8ac45f9b8202c", "_user": "hdakpo", "_type": "src", "_file": "sfaR_1.0.1.9000.tar.gz", "_fileid": 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