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
 [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:
Downloads:
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