Code for Brent's method for univariate function optimization
was taken from R 3.2.2 (Copyright (c) 1995, 1996 Robert
Gentleman and Ross Ihaka, Copyright (C) 2003-2004 The R
Foundation, Copyright (C) 1998-2014 The R Core Team).

Functions to convert data structures among the 'qtl2', 'qtl', and 'DOQTL' packages for mapping quantitative trait loci (QTL).
person("Karl W", "Broman", role=c("aut", "cre"),
email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671"))

Database Storage of Genotype Probabilities for QTL Mapping
Uses the 'fst' package to store genotype probabilities on disk for the 'qtl2' package. These genotype probabilities are a central data object for mapping quantitative trait loci (QTL), but they can be quite large. The facilities in this package enable the genotype probabilities to be stored on disk, leading to reduced memory usage with only a modest increase in computation time.
c(person("Karl W", "Broman", role=c("aut", "cre"),
email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")),
person("Brian S", "Yandell", role="aut",
email="byandell@wisc.edu", comment=c(ORCID = "0000-0002-8774-9377")),
person("Petr", "Simecek", role="aut", comment=c(ORCID = "0000-0002-2922-7183")))

c(person("Brian S Yandell",
role = c("aut", "cre"),
email = "brian.yandell@wisc.edu"),
person("Karl W Broman",
role = "aut",
email = "kbroman@biostat.wisc.edu"))
Functions to plot QTL (quantitative trait loci) analysis
results and related diagnostics.
Part of 'qtl2', an upgrade of the 'qtl'
package to better handle high-dimensional data and complex cross
designs.
Rcpp (>= 0.12.7), assertthat, dplyr, ggplot2, purrr, stringr,
tidyr, rlang, graphics, RColorBrewer, grid, qtl2
devtools, testthat, roxygen2, knitr, rmarkdown
Brian S Yandell [aut, cre],
Karl W Broman [aut]

Rcpp (>= 0.12.7), assertthat, dplyr, ggplot2, purrr, stringr,
tidyr, rlang, graphics, RColorBrewer, grid, qtl2, ggrepel

c(person("Brian S Yandell",
role = c("aut", "cre"),
email = "brian.yandell@wisc.edu"))
Routines in 'qtl2' to study allele patterns in quantitative trait loci (QTL)
mapping over a chromosome.
Useful in crosses with more than two alleles to identify how sets of alleles,
genetically different strands at the same locus, have different response levels.
Plots show profiles over a chromosome.
Can handle multiple traits together.
See <https://github.com/byandell/qtl2pattern>.
dplyr, tidyr, purrr, stringr, ggplot2, assertthat,
RColorBrewer, qtl2, qtl2fst, fst, rlang, stats, graphics