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AlleleShift  

Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change
View on CRAN: Click here


Download and install AlleleShift package within the R console
Install from CRAN:
install.packages("AlleleShift")

Install from Github:
library("remotes")
install_github("cran/AlleleShift")

Install by package version:
library("remotes")
install_version("AlleleShift", "1.1-2")



Attach the package and use:
library("AlleleShift")
Maintained by
Roeland Kindt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-26
Latest Update: 2023-10-28
Description:
Methods () are provided of calibrating and predicting shifts in allele frequencies through redundancy analysis ('vegan::rda()') and generalized additive models ('mgcv::gam()'). Visualization functions for predicted changes in allele frequencies include 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()', 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input data sets that are prepared by helper functions for each visualization method. Examples in the documentation show how to prepare animated climate change graphics through a time series with the 'gganimate' package. Function 'amova.rda()' shows how Analysis of Molecular Variance can be directly conducted with the results from redundancy analysis.
How to cite:
Roeland Kindt (2021). AlleleShift: Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change. R package version 1.1-2, https://cran.r-project.org/web/packages/AlleleShift. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.9-2 (2021-01-29 11:50), 0.9 (2021-01-26 14:00), 1.0-1 (2021-04-07 11:10), 1.0-2 (2021-08-14 16:20), 1.1 (2022-09-07 14:50)
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