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:
SEA_2.0.1.tar.gz
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SEA.pdf |SEA.html✨
SEA/json (API)
# Install 'SEA' in R: |
install.packages('SEA', repos = c('https://yuanmingzhang.r-universe.dev', 'https://cloud.r-project.org')) |
- BCFexdata - BCF population dataset
- BCexdata - BC population dataset
- BILexdata - BIL population dataset
- DHexdata - DH population dataset
- F23exdata - F23 population dataset
- F2exdata - F2 population dataset
- G3DHexdata - G3DH population dataset
- G4F2exdata - G4F2 population dataset
- G4F3exdata - G4F3 population dataset
- G5BCFexdata - G5BCF population dataset
- G5BCexdata - G5BC population dataset
- G5exdata - G5 population dataset
- G6Fexdata - G6F population dataset
- G6exdata - G6 population dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:ef7fc9f003. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:BCFFunBCFunBILFunDHFunF23FunF2FunG3DHFunG4F2FunG4F3FunG5BCFFunG5BCFunG5FunG6FFunG6FunPosProSEA
Dependencies:base64encbslibcachemclicodetoolscommonmarkcrayondata.tabledigestdoParallelfastmapfontawesomeforeachfsgluehtmltoolshttpuviteratorsjquerylibjsonliteKScorrectlaterlifecyclemagrittrMASSmclustmemoisemimepromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable