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 [aut, cre], Lloyd Elliott [aut], Laura LE Cowen [aut], Jiguo Cao [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, r-oldrel (x86_64): quickNmix_1.1.1.tgz
Old sources:	quickNmix archive

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