DESCRIPTION

Package: quickNmix
Title: Asymptotic N-Mixture Model Fitting
Version: 1.0.4
Date: 2022-02-28
Maintainer: Matthew RP Parker <mrparker909@gmail.com>
Authors@R: 
    c(person(given = "Matthew RP",
            family = "Parker",
            role = c("aut", "cre"),
            email = "mrparker909@gmail.com",
            comment = c(ORCID = "0000-0003-3021-7959")),
      person(given = "Lloyd",
            family = "Elliott",
            role = c("aut"),
            email = "lloyd_elliott@sfu.ca",
            comment = c(ORCID = "0000-0003-2187-7314")),
      person(given = "Laura LE",
            family = "Cowen",
            role = c("aut"),
            email = "lcowen@uvic.ca",
            comment = c(ORCID = "0000-0002-0853-1450")),
      person(given = "Jiguo",
            family = "Cao",
            role = c("aut"),
            email = "jiguo_cao@sfu.ca",
            comment = c(ORCID = "0000-0001-7417-6330")) )
Description: 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.".
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
URL: https://github.com/mrparker909/quickNmix
BugReports: https://github.com/mrparker909/quickNmix/issues
Suggests: 
    testthat,
    knitr,
    rmarkdown
Depends: 
    R (>= 2.10),
    parallel,
    optimParallel
Imports: 
    foreach,
    doParallel