Package: quickNmix 1.1.1

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.".

Authors:Matthew RP Parker [aut, cre], Lloyd Elliott [aut], Laura LE Cowen [aut], Jiguo Cao [aut]

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quickNmix/json (API)
NEWS

# Install 'quickNmix' in R:
install.packages('quickNmix', repos = c('https://mrparker909.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • anmu - Ancient Murrelet Chick Counts
  • eagles - Golden Eagle Counts Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 5 scripts 162 downloads 4 exports 5 dependencies

Last updated 3 years agofrom:bea6957df9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:fitNmixfitNmixParanllpCountOpenFFT

Dependencies:codetoolsdoParallelforeachiteratorsoptimParallel