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sra  

Selection Response Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sra", "0.1.4.1")



Attach the package and use:
library("sra")
Maintained by
Arnaud Le Rouzic
[Scholar Profile | Author Map]
First Published: 2012-10-29
Latest Update: 2024-02-14
Description:
Artificial selection through selective breeding is an efficient way to induce changes in traits of interest in experimental populations. This package (sra) provides a set of tools to analyse artificial-selection response datasets. The data typically feature for several generations the average value of a trait in a population, the variance of the trait, the population size and the average value of the parents that were chosen to breed. Sra implements two families of models aiming at describing the dynamics of the genetic architecture of the trait during the selection response. The first family relies on purely descriptive (phenomenological) models, based on an autoregressive framework. The second family provides different mechanistic models, accounting e.g. for inbreeding, mutations, genetic and environmental canalization, or epistasis. The parameters underlying the dynamics of the time series are estimated by maximum likelihood. The sra package thus provides (i) a wrapper for the R functions mle() and optim() aiming at fitting in a convenient way a predetermined set of models, and (ii) some functions to plot and analyze the output of the models.
How to cite:
Arnaud Le Rouzic (2012). sra: Selection Response Analysis. R package version 0.1.4.1, https://cran.r-project.org/web/packages/sra. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.1 (2015-01-08 18:21), 0.1.3 (2020-02-28 23:30), 0.1.4 (2023-03-08 11:00), 0.1 (2012-10-29 08:59)
Other packages that cited sra R package
View sra citation profile
Other R packages that sra depends, imports, suggests or enhances
Complete documentation for sra
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