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) "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.


Reference manual

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0.10.2 by Moshe-Elijah Jasper, 4 months ago

Browse source code at

Authors: Moshe-Elijah Jasper [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports ggplot2, readr, shiny, shinythemes, ggrepel, fitdistrplus, LaplacesDemon, here, stats, methods, tibble, grid, magrittr, plotly, dplyr, rlang, tidyselect, stringr

Suggests testthat, knitr, rmarkdown

See at CRAN