Estimation under not Missing at Random Nonresponse R package NMAR version 0.1.2 Methods to estimate finite-population parameters under nonresponse that is not missing at random (NMAR, nonignorable). Incorporates auxiliary information and user-specified response models, and supports independent samples and complex survey designs via objects from the 'survey' package. Provides diagnostics and optional variance estimates. For methodological background see Qin, Leung and Shao (2002) <doi:10.1198/016214502753479338> and Riddles, Kim and Im (2016) <doi:10.1093/jssam/smv047>. Software Depends: R (>= 3.5) Imports: stats, nleqslv, utils, generics, Formula Suggests: knitr, rmarkdown, testthat (>= 3.0.0), numDeriv, survey, svrep, broom, progressr, future, future.apply, spelling Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl> Comprehensive R Archive Network (CRAN) Maciej Beresewicz [aut, cre] (ORCID: <https://orcid.org/0000-0002-8281-4301>), Igor Kołodziej [aut, ctb], Mateusz Iwaniuk [aut, ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=NMAR/LICENSE) 2026-02-05 application/tgz https://CRAN.R-project.org/package=NMAR doi:10.32614/CRAN.package.NMAR en-US