{ "_id": "6a1efbddb401979e73418c7e", "Package": "plsmmLasso", "Title": "Variable Selection and Inference for Partial Semiparametric\nLinear Mixed-Effects Model", "Version": "1.1.0", "Authors@R": "c(\nperson(given = \"Sami\",\nfamily = \"Leon\",\nemail = \"samileon@hotmail.fr\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0001-9138-9450\")),\nperson(given = \"Tong Tong\",\nfamily = \"Wu\",\nrole = c(\"ths\"),\ncomment = c(ORCID = \"0000-0002-1175-9923\"))\n)", "Description": "Implements a partial linear semiparametric mixed-effects\nmodel (PLSMM) featuring a random intercept and applies a lasso\npenalty to both the fixed effects and the coefficients\nassociated with the nonlinear function. The model also\naccommodates interactions between the nonlinear function and a\ngrouping variable, allowing for the capture of group-specific\nnonlinearities. Nonlinear functions are modeled using a set of\nbases functions. Estimation is conducted using a penalized\nExpectation-Maximization algorithm, and the package offers\nflexibility in choosing between various information criteria\nfor model selection. Post-selection inference is carried out\nusing a debiasing method, while inference on the nonlinear\nfunctions employs a bootstrap approach.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "URL": "https://github.com/Sami-Leon/plsmmLasso", "BugReports": "https://github.com/Sami-Leon/plsmmLasso/issues", "Repository": "https://sami-leon.r-universe.dev", "Date/Publication": "2024-06-12 16:41:16 UTC", "RemoteUrl": "https://github.com/sami-leon/plsmmlasso", "RemoteRef": "HEAD", "RemoteSha": "07e0178cd02f121225f7c17c067bf9d13ffdd65a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-18 10:27:45 UTC", "User": "root" }, "Author": "Sami Leon [aut, cre, cph] (ORCID:\n),\nTong Tong Wu [ths] (ORCID: )", "Maintainer": "Sami Leon ", "MD5sum": "7c71c016c5c7dfcdd79c6f951c2830d9", "_user": "sami-leon", "_type": "src", "_file": "plsmmLasso_1.1.0.tar.gz", "_fileid": "4c39c217bc52aeddc71fd578ffa2eab5e42af78ea9102775493af248656d3748", 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