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 YM, Gai JY, Yang YH (2003) <doi:10.1017/S0016672303006141>.

Version: 2.0
Depends: shiny, MASS, doParallel, foreach, methods
Imports: KScorrect, kolmim, utils, stats, grDevices, graphics, data.table
Published: 2021-02-27
Author: Wang Jing-Tian, Zhang Ya-Wen, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang <soyzhang at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SEA results


Reference manual: SEA.pdf


Package source: SEA_2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SEA_2.0.tgz, r-release (x86_64): SEA_2.0.tgz, r-oldrel: SEA_2.0.tgz
Old sources: SEA archive


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