Asymptotic N-Mixture Model Fitting R package quickNmix version 1.1.1 For fitting N-mixture models using either FFT or asymptotic approaches. FFT N-mixture models extend the work of Cowen et al. (2017) <doi:10.1111/biom.12701>. Asymptotic N-mixture models extend the work of Dail and Madsen (2011) <doi:10.1111/j.1541-0420.2010.01465.x>, to consider asymptotic solutions to the open population N-mixture models. The FFT models are derived and described in "Parker, M.R.P., Elliott, L., Cowen, L.L.E. (2022). Computational efficiency and precision for replicated-count and batch-marked hidden population models [Manuscript in preparation]. Department of Statistics and Actuarial Sciences, Simon Fraser University.". The asymptotic models are derived and described in: "Parker, M.R.P., Elliott, L., Cowen, L.L.E., Cao, J. (2022). Fast asymptotic solutions for N-mixtures on large populations [Manuscript in preparation]. Department of Statistics and Actuarial Sciences, Simon Fraser University.". Software Depends: R (>= 2.10) Imports: foreach, parallel, optimParallel, doParallel, Suggests: testthat, knitr, rmarkdown Matthew RP Parker <mrparker909@gmail.com> Comprehensive R Archive Network (CRAN) Matthew RP Parker [aut, cre] (ORCID: <https://orcid.org/0000-0003-3021-7959>), Lloyd Elliott [aut] (ORCID: <https://orcid.org/0000-0003-2187-7314>), Laura LE Cowen [aut] (ORCID: <https://orcid.org/0000-0002-0853-1450>), Jiguo Cao [aut] (ORCID: <https://orcid.org/0000-0001-7417-6330>) MIT + file LICENSE (https://CRAN.R-project.org/package=quickNmix/LICENSE) 2022-03-21 application/tgz https://CRAN.R-project.org/package=quickNmix doi:10.32614/CRAN.package.quickNmix