quickNmix: Asymptotic N-Mixture Model Fitting

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.".

Version: 1.1.1
Depends: R (≥ 2.10)
Imports: foreach, parallel, optimParallel, doParallel
Suggests: testthat, knitr, rmarkdown
Published: 2022-03-21
Author: Matthew RP Parker ORCID iD [aut, cre], Lloyd Elliott ORCID iD [aut], Laura LE Cowen ORCID iD [aut], Jiguo Cao ORCID iD [aut]
Maintainer: Matthew RP Parker <mrparker909 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: quickNmix results

Documentation:

Reference manual: quickNmix.pdf

Downloads:

Package source: quickNmix_1.1.1.tar.gz
Windows binaries: r-devel: quickNmix_1.1.1.zip, r-release: quickNmix_1.1.1.zip, r-oldrel: quickNmix_1.1.1.zip
macOS binaries: r-release (arm64): quickNmix_1.1.1.tgz, r-oldrel (arm64): quickNmix_1.1.1.tgz, r-release (x86_64): quickNmix_1.1.1.tgz
Old sources: quickNmix archive

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