c(
person(given = "Maximilian M.", family = "Rabe", email = "maximilian.rabe@uni-potsdam.de", role = c("aut","cre")),
person(given = "Shravan", family = "Vasishth", role = c("aut")),
person(given = "Sven", family = "Hohenstein", role = c("aut")),
person(given = "Reinhold", family = "Kliegl", email = "kliegl@uni-potsdam.de", role = c("aut")),
person(given = "Daniel J.", family = "Schad", email = "schad@uni-potsdam.de", role = c("aut")))
Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <arXiv:1807.10451>.
MASS, Matrix, pracma, methods, stats, rlang
Maximilian M. Rabe [aut, cre],
Shravan Vasishth [aut],
Sven Hohenstein [aut],
Reinhold Kliegl [aut],
Daniel J. Schad [aut]

Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038>.

Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad et al. (2019) <doi:10.1016/j.jml.2019.104038> and Rabe et al. (2020) <doi:10.21105/joss.02134>.
MASS, pracma, methods, cli, magrittr, Matrix,

Simulation of genomic data in applied genetics
The package is intended for simulating high density
genomic data. Its focus is on genomic applications in applied
genetics,namely hybrid breeding, but it should be usefull in
related fields as well.  The meiosis is simulated under a
count-location model, the genetic structure can include
additive and dominance effects. The low level nature of the
package provides great flexibility in creating all kinds of
populations.
hypredGenome-class.R codeW.genomeSpecific.R hypredCode.R
hypredDInv.R hypredFounder.R hypredGenome.R hypredRecombine.R
hypredSNPdist.R hypredTpGenomeSpecific.R
hypredTruePerformance.R hypredNewMap.R hypredNewQTL.R
hypredCodeMethods.R hypredFounderMethods.R
hypredRecombineMethods.R hypredSNPdistMethods.R
hypredTpGenomeSpecificMethods.R hypredTruePerformanceMethods.R
showMethods.R summaryMethods.R hypredNewMapMethods.R
hypredNewQTLMethods.R