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:10.1186/s12859-020-03804-y>.
Version: | 1.3.0 |
Depends: | R (≥ 3.5.0) |
Imports: | data.table, mvtnorm, stats, utils, SNPRelate, gdsfmt |
Suggests: | knitr, rmarkdown |
Published: | 2021-01-20 |
DOI: | 10.32614/CRAN.package.simplePHENOTYPES |
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 |
Citation: | simplePHENOTYPES citation info |
Materials: | README NEWS |
In views: | Agriculture |
CRAN checks: | simplePHENOTYPES results |
Reference manual: | simplePHENOTYPES.pdf |
Vignettes: |
Introduction to simplePHENOTYPES |
Package source: | simplePHENOTYPES_1.3.0.tar.gz |
Windows binaries: | r-devel: simplePHENOTYPES_1.3.0.zip, r-release: simplePHENOTYPES_1.3.0.zip, r-oldrel: simplePHENOTYPES_1.3.0.zip |
macOS binaries: | r-release (arm64): simplePHENOTYPES_1.3.0.tgz, r-oldrel (arm64): simplePHENOTYPES_1.3.0.tgz, r-release (x86_64): simplePHENOTYPES_1.3.0.tgz, r-oldrel (x86_64): simplePHENOTYPES_1.3.0.tgz |
Old sources: | simplePHENOTYPES archive |
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