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kindisperse: Simulate and Estimate Close-Kin Dispersal Kernels

Functions for simulating and estimating kinship-related dispersal. Based on the methods described in M. Jasper, T.L. Schmidt., N.W. Ahmad, S.P. Sinkins & A.A. Hoffmann (2019) <doi:10.1111/1755-0998.13043> "A genomic approach to inferring kinship reveals limited intergenerational dispersal in the yellow fever mosquito". Assumes an additive variance model of dispersal in two dimensions, compatible with Wright's neighbourhood area. Simple and composite dispersal simulations are supplied, as well as the functions needed to estimate parent-offspring dispersal for simulated or empirical data, and to undertake sampling design for future field studies of dispersal. For ease of use an integrated Shiny app is also included.

Version: 0.10.2
Depends: R (≥ 2.10)
Imports: ggplot2, readr, shiny, shinythemes, ggrepel, fitdistrplus, LaplacesDemon, here, stats, methods, tibble, grid, magrittr, plotly, dplyr, rlang, tidyselect, stringr
Suggests: testthat, knitr, rmarkdown
Published: 2021-07-28
DOI: 10.32614/CRAN.package.kindisperse
Author: Moshe-Elijah Jasper ORCID iD [aut, cre]
Maintainer: Moshe-Elijah Jasper <moshe.jasper at unimelb.edu.au>
License: MIT + file LICENSE
URL: https://github.com/moshejasper/kindisperse
NeedsCompilation: no
Materials: README NEWS
CRAN checks: kindisperse results

Documentation:

Reference manual: kindisperse.pdf
Vignettes: using-kindisperse

Downloads:

Package source: kindisperse_0.10.2.tar.gz
Windows binaries: r-devel: kindisperse_0.10.2.zip, r-release: kindisperse_0.10.2.zip, r-oldrel: kindisperse_0.10.2.zip
macOS binaries: r-release (arm64): kindisperse_0.10.2.tgz, r-oldrel (arm64): kindisperse_0.10.2.tgz, r-release (x86_64): kindisperse_0.10.2.tgz, r-oldrel (x86_64): kindisperse_0.10.2.tgz
Old sources: kindisperse archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=kindisperse to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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