differences, checking containment in an interval, and an

Author: Victor Moreno, Nilanjan Chatterjee, Bhramar Mukherjee
Description: Analysis of kin-cohort studies. kin.cohort provides estimates of age-specific
cumulative risk of a disease for carriers and noncarriers of a mutation. The cohorts are
retrospectively built from relatives of probands for whom the genotype is known. Currently
the method of moments and marginal maximum likelihood are implemented. Confidence intervals
Most of the code is a translation from previous matlab code by Chatterjee.
Packaged: Wed Apr 25 17:48:05 2007; victormo

Packaged: Thu Jan 29 18:42:14 2009; h501uvma

Most of the code is a translation from previous 'MATLAB' code by N. Chatterjee.

Title: Simulate and Estimate Close-Kin Dispersal Kernels
Description: 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.
Imports: ggplot2, readr, shiny, shinythemes, ggrepel, fitdistrplus,
LaplacesDemon, here, stats, methods, tibble, grid, magrittr,
plotly, dplyr, rlang, tidyselect, stringr

Author: Pablo Rodriguez-Sanchez (https://pabrod.github.io) and Sanne J. P. van den Berg (https://www.wur.nl/en/Persons/Sanne-dr.-SJP-Sanne-van-den-Berg.htm)
Description: Allows analyzing time series representing two-dimensional movements.
It accepts a data frame with a time (t), horizontal (x) and vertical (y) coordinate as columns,
and returns several dynamical properties such as speed, acceleration or curvature.
Suggests: testthat, knitr, utils, markdown, rmarkdown, ggplot2