{ "_id": "6ad08f32cf31981cbb6eead9", "Title": "Estimation of Censored AI/QUAI Demand System via Maximum\nLikelihood Estimation (MLE)", "Package": "censoredAIDS", "Type": "Package", "Version": "1.0.0", "Description": "Tools for estimating censored Almost Ideal (AI) and\nQuadratic Almost Ideal (QUAI) demand systems using Maximum\nLikelihood Estimation (MLE). It includes functions for\ncalculating demand share equations and the truncated\nlog-likelihood function for a system of equations,\nincorporating demographic variables. The package is designed to\nhandle censored data, where some observations may be zero due\nto non-purchase of certain goods. Package also contains a\nprocedure to approximate demand elasticities numerically and\nestimate standard errors via Delta Method. It is particularly\nuseful for applied researchers analyzing household consumption\ndata.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "Authors@R": "person(\"Noé J\", \"Nava\", , \"noejnava2@gmail.com\", role = c(\"aut\", \"cre\"))", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-15 07:39:30 UTC", "User": "root" }, "Author": "Noé J Nava [aut, cre]", "Maintainer": "Noé J Nava ", "Repository": "https://noejn2.r-universe.dev", "Date/Publication": "2025-03-18 13:00:09 UTC", "RemoteUrl": "https://github.com/noejn2/censoredaids", "RemoteRef": "HEAD", "RemoteSha": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "_user": "noejn2", "_type": "src", "_file": "censoredAIDS_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/af29c4af14fc0aa8361ef15c0178919552ce0ffb948b4d293a2e6dd32698d4ad", "_filesize": 485350, "_sha256": "af29c4af14fc0aa8361ef15c0178919552ce0ffb948b4d293a2e6dd32698d4ad", "_expires": "2027-01-23T08:30:37.000Z", "_created": "2026-10-15T07:39:30.000Z", "_published": "2026-10-15T08:30:42.206Z", "_buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 116306444378, "time": 102, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11956211105" }, { "job": 116306444505, "time": 99, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11956656914" }, { "job": 116306444347, "time": 111, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11958826253" }, { "job": 116306444238, "time": 98, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11958696214" }, { "job": 116305582339, "time": 139, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11955736998" }, { "job": 116306444224, "time": 81, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11956515721" }, { "job": 116306444314, "time": 63, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11956661728" }, { "job": 116306444518, "time": 66, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11955926895" }, { "job": 116306444323, "time": 69, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11956425735" } ], "_upstream": "https://github.com/noejn2/censoredaids", "_commit": { "id": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "author": "Noé J Nava ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1742302809 }, "_maintainer": { "name": "Noé J Nava", "email": "noejnava2@gmail.com", "login": "noejn2", "description": "Expat and Economic Modeling Advisor 🧮\n\n\nI orchestrate AI agents that write econ papers and code, mostly 📊 \n\n", "uuid": 31579483 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "Matrix", "role": "Imports" }, { "package": "mnormt", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "matrixcalc", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "noejn2", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "noejn2", "count": 2, "uuid": 31579483 } ], "_userbio": { "uuid": 31579483, "type": "user", "name": "Noé J Nava", "followers": 38, "description": "Expat and Economic Modeling Advisor 🧮\r\n\r\n\r\nI orchestrate AI agents that write econ papers and code, mostly 📊 \r\n\r\n" }, "_downloads": { "count": 311, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/censoredAIDS" }, "_devurl": "https://github.com/noejn2/censoredaids", "_searchresults": 1, "_rbuild": "4.6.1", "_assets": [ "extra/censoredAIDS.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "LICENSE" ], "_homeurl": "https://github.com/noejn2/censoredaids", "_realowner": "noejn2", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2025-03-13" }, { "version": "1.0.0", "date": "2025-03-22" } ], "_exports": [ "aidsCalculate", "censoredaidsLoglike", "censoredElasticity" ], "_datasets": [ { "name": "MexicanHH_foodConsumption", "title": "National Survey of Household Income and Expenditures (ENIGH)", "object": "MexicanHH_foodConsumption", "class": [ "data.frame" ], "fields": [ "s1", "s2", "s3", "s4", "s5", "s6", "lnp1", "lnp2", "lnp3", "lnp4", "lnp5", "lnp6", "lnw", "age", "size", "sex", "educ" ], "rows": 8777, "table": true, "tojson": true } ], "_help": [ { "page": "aidsCalculate", "title": "Calculate the demand share equations of a AI or QUAI demand system, including demographic variable.", "topics": [ "aidsCalculate" ] }, { "page": "censoredaidsLoglike", "title": "Calculates the truncated (censored) log-likehood function of a share system of equations of a AI or QUAI demand system.", "topics": [ "censoredaidsLoglike" ] }, { "page": "censoredElasticity", "title": "Numerical approximation to censored AI or QUAI demand system elasticities, including demographic variable.", "topics": [ "censoredElasticity" ] }, { "page": "MexicanHH_foodConsumption", "title": "National Survey of Household Income and Expenditures (ENIGH)", "topics": [ "MexicanHH_foodConsumption" ] }, { "page": "muaidsCalculate", "title": "Calculate the demand share equations of a AI or QUAI demand system, including demographic variable, using point estimates (e.g., mean, median, percentiles).", "topics": [ "muaidsCalculate" ] } ], "_rundeps": [ "lattice", "Matrix", "matrixcalc", "mnormt", "mvtnorm" ], "_score": 2, "_indexed": true, "_nocasepkg": "censoredaids", "_universes": [ "noejn2" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0", "date": "2026-10-15T07:41:17.000Z", "distro": "resolute", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/f9b3005eee171485233c88f9ee442e07dea24c8a0e7623c02e1f2c6e67cb35a4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.6.1", "os": "linux", "version": "1.0.0", "date": "2026-10-15T07:41:10.000Z", "distro": "resolute", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/e51d664eb0b80113c06b10b76c79992bab2c531d196c467572a4c06f0760ae8e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.5.3", "os": "mac", "version": "1.0.0", "date": "2026-10-15T08:30:01.000Z", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/a795902ded353f9059d91e924b4b76755fdc654ca5819c3c13b9addcfe3b1f9b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.6.1", "os": "mac", "version": "1.0.0", "date": "2026-10-15T08:27:44.000Z", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/8200e4a68106ad4f17e79121e1310b6fac11b2f2bb37a69e49a23cebf81db706", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0", "date": "2026-10-15T07:41:05.000Z", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/4b0f1588efe3fb646be40108ae19658535f6212658165310b3e2128976d81cea", "status": "success", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.7.0", "os": "win", "version": "1.0.0", "date": "2026-10-15T07:40:30.000Z", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/387438c330613be595660e75f7e1aa76451387ed349d0c329275a09827587307", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.5.3", "os": "win", "version": "1.0.0", "date": "2026-10-15T07:40:36.000Z", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/2252c43eb52c4e748b9fba91494ce6c490005076fb9a664021b7c6a50ffe9ca8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" }, { "r": "4.6.1", "os": "win", "version": "1.0.0", "date": "2026-10-15T07:40:39.000Z", "commit": "eeae8a0afb259cfdea4642d2a2357b5e0d1f7fd4", "fileid": "https://r2.ropensci.org/9d9961c5ffdd18db949a323a17f6f83f5ccf928327e8e57d068add1230e15a0f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/noejn2/actions/runs/38699954804" } ] }