Authors@R: c(person("Ansgar", "Wenzel", email="ansgar.wenzel+quhomology@gmail.com", role=c("aut", "cre")))
Description: Calculates the Quandle, Rack and Degenerate Homology groups of
Packaged: 2018-05-10 10:42:24 UTC; ansgarwenzel

Title: Asymptotic N-Mixture Model Fitting
Maintainer: Matthew RP Parker <mrparker909@gmail.com>
Description: For fitting asymptotic N-mixture models. 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 asymptotic models are derived and described in: "Parker, M.R.P., Elliott, L., Cowen, L.L.E., Cao, J. (2021). Asymptotic solutions for N-mixture models with count data [Manuscript in preparation]. Department of Statistics and Actuarial Sciences, Simon Fraser University.".
Author: Matthew RP Parker [aut, cre] (<https://orcid.org/0000-0003-3021-7959>),

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.".
Imports: foreach, parallel, optimParallel, doParallel,

Title: A System of Plotting Optimized for Speed and Modularity
Description: A high-level plotting system, built using 'grid' graphics, that is
optimized for speed and modularity. This has great utility for quick
visualizations when testing code, with the key benefit that visualizations
are updated independently of one another.
Imports: data.table (>= 1.10.4), ggplot2, grDevices, grid, gridBase,
igraph, methods, raster, RColorBrewer, rgdal, sp, stats
Suggests: fastshp, hunspell, knitr, rmarkdown, testthat (>= 1.0.2)