[aut, cre],
Alexander Lipka
[aut]The number of studies involving correlated traits and the availability of tools to handle this type of data has increased considerably in the last decade. With such a demand, we need tools for testing hypotheses related to single and multi-trait (correlated) phenotypes based on many genetic settings. Thus, we implemented various options for simulation of pleiotropy and Linkage Disequilibrium under additive, dominance and epistatic models. The simulation currently takes a marker data set as an input and then uses it for simulating multiple traits as described in Fernandes and Lipka (2020) <doi:10.1101/2020.01.11.902874>.
| Version: | 1.2.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | data.table, mvtnorm, lqmm, stats, utils, SNPRelate, gdsfmt |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-05-06 |
| Author: | Samuel Fernandes
[aut, cre],
Alexander Lipka
[aut] |
| Maintainer: | Samuel Fernandes <samuelf at illinois.edu> |
| BugReports: | https://github.com/samuelbfernandes/simplePHENOTYPES/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/samuelbfernandes/simplePHENOTYPES |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | simplePHENOTYPES results |
| Reference manual: | simplePHENOTYPES.pdf |
| Vignettes: |
Introduction to simplePHENOTYPES |
| Package source: | simplePHENOTYPES_1.2.4.tar.gz |
| Windows binaries: | r-devel: simplePHENOTYPES_1.2.4.zip, r-release: simplePHENOTYPES_1.2.4.zip, r-oldrel: simplePHENOTYPES_1.2.4.zip |
| macOS binaries: | r-release: simplePHENOTYPES_1.2.4.tgz, r-oldrel: simplePHENOTYPES_1.2.4.tgz |
| Old sources: | simplePHENOTYPES archive |
Please use the canonical form https://CRAN.R-project.org/package=simplePHENOTYPES to link to this page.