Simulation of Pleiotropic, Linked and Epistatic Phenotypes R package simplePHENOTYPES version 1.3.0 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) 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>. Software Depends: R (>= 3.5.0) Imports: data.table, mvtnorm, stats, utils, SNPRelate, gdsfmt Suggests: knitr, rmarkdown Samuel Fernandes <samuelf@illinois.edu> Comprehensive R Archive Network (CRAN) Samuel Fernandes [aut, cre] (ORCID: <https://orcid.org/0000-0001-8269-535X>), Alexander Lipka [aut] (ORCID: <https://orcid.org/0000-0003-1571-8528>) MIT + file LICENSE (https://CRAN.R-project.org/package=simplePHENOTYPES/LICENSE) 2021-01-20 application/tgz https://CRAN.R-project.org/package=simplePHENOTYPES doi:10.32614/CRAN.package.simplePHENOTYPES