{"Package":"interSAE","Type":"Package","Title":"Intersectional Small Area Estimation from Survey and Census Data","Version":"0.1.0","Authors@R":"person(\u000agiven = \"Leila\",\u000afamily = \"Marvian Mashhad\",\u000aemail = \"leila.marveian@gmail.com\",\u000arole = c(\"aut\", \"cre\")\u000a)","Description":"Implements design-aware, margin-constrained estimation of\u000apopulation indicators for geographic areas crossed with demographic\u000asubgroups. Complex-survey microdata supply outcomes and association\u000ainformation, while one or more aggregate census tables supply overlapping\u000apopulation margins. A generalized iterative proportional fitting engine\u000areconstructs a coherent latent population table, and an augmented\u000amodel-assisted estimator produces domain means, proportions, and totals\u000afor sampled and unsampled intersections. Tools\u000adiagnose non-identification, compute linear-programming sensitivity bounds,\u000apropagate sampling and model uncertainty with replicate-weight or\u000amultiplier bootstrap procedures, enforce structural zeros, and benchmark\u000aestimates to official totals. The framework extends calibration ideas from\u000aDeville and Sarndal (1992) <doi:10.1080/01621459.1992.10475217> and small\u000aarea estimation ideas from Fay and Herriot (1979)\u000a<doi:10.1080/01621459.1979.10482505>.","License":"MIT + file LICENSE","Encoding":"UTF-8","Depends":{"R":">= 4.1.0"},"Imports":{"graphics":"*","stats":"*","utils":"*"},"Suggests":{"knitr":"*","lpSolve":"*","rmarkdown":"*","testthat":">= 3.0.0"},"VignetteBuilder":"knitr","Config/testthat/edition":"3","RoxygenNote":"7.3.2","NeedsCompilation":"no","Packaged":"2026-08-24 16:38:42 UTC; marvian","Author":"Leila Marvian Mashhad [aut, cre]","Maintainer":"Leila Marvian Mashhad <leila.marveian@gmail.com>","Repository":"CRAN","Date/Publication":"2026-08-25 05:20:31 UTC","crandb_file_date":"2026-08-25 06:02:45","MD5sum":"e517ffee449e4d88213137e84a66dab1","date":"2026-08-25T04:20:31+00:00","releases":[]}