SEA: Segregation Analysis

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, <doi:10.1017/S0016672303006141>).

Version:	2.0.1
Depends:	shiny, MASS, doParallel, foreach, methods
Imports:	KScorrect, utils, stats, grDevices, graphics, data.table
Published:	2022-03-30
DOI:	10.32614/CRAN.package.SEA
Author:	Jing-Tian Wang [aut], Ya-Wen Zhang [aut], Yuan-Ming Zhang [aut, cre]
Maintainer:	Yuan-Ming Zhang <soyzhang at mail.hzau.edu.cn>
Contact:	Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	SEA results

Documentation:

Reference manual:

SEA.pdf

Downloads:

Package source:	SEA_2.0.1.tar.gz
Windows binaries:	r-devel: SEA_2.0.1.zip, r-release: SEA_2.0.1.zip, r-oldrel: SEA_2.0.1.zip
macOS binaries:	r-release (arm64): SEA_2.0.1.tgz, r-oldrel (arm64): SEA_2.0.1.tgz, r-release (x86_64): SEA_2.0.1.tgz, r-oldrel (x86_64): SEA_2.0.1.tgz
Old sources:	SEA archive

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