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SEA
View on CRAN: Click
here
Download and install SEA package within the R console
Install from CRAN:
install.packages("SEA")
Install from Github:
library("remotes")
install_github("cran/SEA")
Install by package version:
library("remotes")
install_version("SEA", "2.0.1")
Attach the package and use:
library("SEA")
Maintained by
Yuan-Ming Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-24
Latest Update: 2022-03-30
Description:
A few major genes and a series of polygene are responsive for each quantitative trait. Major genes are individually identified while polygene is collectively detected. This is mixed major genes plus polygene inheritance analysis or segregation analysis (SEA). In the SEA, phenotypes from a single or multiple bi-parental segregation populations along with their parents are used to fit all the possible models and the best model of the trait for population phenotypic distributions is viewed as the model of the trait. There are fourteen types of population combinations available. Zhang Yuan-Ming, Gai Jun-Yi, Yang Yong-Hua (2003, ).
How to cite:
Yuan-Ming Zhang (2018). SEA: Segregation Analysis. R package version 2.0.1, https://cran.r-project.org/web/packages/SEA. Accessed 07 Nov. 2024.
Other packages that cited SEA R package
View SEA citation profile
Other R packages that SEA depends,
imports, suggests or enhances
Complete documentation for SEA
Functions, R codes and Examples using
the SEA R package
Some associated functions: BCFFun . BCFexdata . BCFun . BCexdata . BILFun . BILexdata . DHFun . DHexdata . F23Fun . F23exdata . F2Fun . F2exdata . G3DHFun . G3DHexdata . G4F2Fun . G4F2exdata . G4F3Fun . G4F3exdata . G5BCFFun . G5BCFexdata . G5BCFun . G5BCexdata . G5Fun . G5exdata . G6FFun . G6Fexdata . G6Fun . G6exdata . PosPro . SEA-package .
Some associated R codes: BCFFun.R . BCFun.R . BILFun.R . DHFun.R . F23Fun.R . F2Fun.R . G3DHFun.R . G4F2Fun.R . G4F3Fun.R . G5BCFFun.R . G5BCFun.R . G5Fun.R . G6FFun.R . G6Fun.R . PosPro.R . SEA.R . server.R . ui.R . Full SEA package functions and examples
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