Package: SEA 2.0.1

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>).

Authors:Jing-Tian Wang [aut], Ya-Wen Zhang [aut], Yuan-Ming Zhang [aut, cre]

SEA_2.0.1.tar.gz
SEA_2.0.1.zip(r-4.5)SEA_2.0.1.zip(r-4.4)SEA_2.0.1.zip(r-4.3)
SEA_2.0.1.tgz(r-4.4-any)SEA_2.0.1.tgz(r-4.3-any)
SEA_2.0.1.tar.gz(r-4.5-noble)SEA_2.0.1.tar.gz(r-4.4-noble)
SEA_2.0.1.tgz(r-4.4-emscripten)SEA_2.0.1.tgz(r-4.3-emscripten)
SEA.pdf |SEA.html✨
SEA/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

16 exports 6.14 score 38 dependencies 238 mentions 17 scripts 272 downloads

Last updated 2 years agofrom:ef7fc9f003. Checks:OK: 7. Indexed: yes.

Exports:BCFFunBCFunBILFunDHFunF23FunF2FunG3DHFunG4F2FunG4F3FunG5BCFFunG5BCFunG5FunG6FFunG6FunPosProSEA

Dependencies:base64encbslibcachemclicodetoolscommonmarkcrayondata.tabledigestdoParallelfastmapfontawesomeforeachfsgluehtmltoolshttpuviteratorsjquerylibjsonliteKScorrectlaterlifecyclemagrittrMASSmclustmemoisemimepromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable