{ "_id": "6ad35b6234c79ac9e60a2373", "Package": "bild", "Type": "Package", "Title": "A Package for BInary Longitudinal Data", "Version": "1.3-0", "Date": "2026-10-14", "Authors@R": "c(\nperson(given = c(\"M.\", \"Helena\"),\nfamily = \"Goncalves\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mhgoncal@ualg.pt\",\ncomment = c(ORCID = \"0000-0002-6990-7239\")),\nperson(given = c(\"M.\", \"Salome\"),\nfamily = \"Cabral\",\nrole = \"aut\"),\nperson(given = \"Adelchi\",\nfamily = \"Azzalini\",\nrole = \"aut\"),\nperson(given = \"R.\",\nfamily = \"Piessens\",\nrole = \"ctb\",\ncomment = \"Author of Fortran-77 subroutines from Quadpack\"),\nperson(given = \"E.\",\nfamily = \"de Doncker\",\nrole = \"ctb\",\ncomment = \"Author of Fortran-77 subroutines from Quadpack\")\n)", "Description": "Performs logistic regression for binary longitudinal data,\nallowing for serial dependence among observations from a given\nindividual and a random intercept term. Estimation is via\nmaximization of the exact likelihood of a suitably defined\nmodel. Missing values and unbalanced data are allowed, with\nsome restrictions. M. Helena Goncalves et al. (2012) .", "Encoding": "UTF-8", "NeedsCompilation": "yes", "License": "GPL (>= 2)", "LazyData": "true", "Config/roxygen2/version": "8.0.0", "RoxygenNote": "7.3.3", "Collate": "'autoplot.bild.R' 'bild_main.R' 'classes_and_generics.R'\n'data.R' 'gradlogL_bin0.R' 'gradlogL_bin0I.R' 'gradlogL_bin1.R'\n'gradlogL_bin1I.R' 'gradlogL_bin2.R' 'gradlogL_bin2I.R'\n'logL_bin0.R' 'logL_bin0I.R' 'logL_bin0I_aux.R'\n'logL_bin0_aux.R' 'logL_bin1.R' 'logL_bin1I.R'\n'logL_bin1I_aux.R' 'logL_bin1_aux.R' 'logL_bin2.R'\n'logL_bin2I.R' 'logL_bin2I_aux.R' 'logL_bin2_aux.R'\n'methods_complex.R' 'methods_getters.R' 'num_InfoI.R'\n'num_info.R' 'plot_bild_missing.R' 'predict.bild.R' 'zzz.R'", "Packaged": { "Date": "2026-10-17 11:21:46 UTC", "User": "root" }, "Author": "M. Helena Goncalves [aut, cre] (ORCID:\n), M. 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