c(	person("Bastian", "Pfeifer", role = c("aut", "cre"), email = "bastianxpfeifer@gmail.com"),
person("Ulrich", "Wittelsbuerger", role = "ctb"),
person("Heng", "Li", role = "ctb"),
person("Bob", "Handsaker", role = "ctb")			)
parallel, bigmemory, BASIX, WhopGenome, BlockFeST
Provides efficient tools for population genomics data analysis,
able to process individual loci, large sets of loci, or whole genomes. PopGenome <DOI:10.1093/molbev/msu136> not only
implements a wide range of population genetics statistics, but also facilitates the easy
implementation of new algorithms by other researchers. PopGenome is optimized for speed via
the seamless integration of C code.
Bastian Pfeifer [aut, cre],
Ulrich Wittelsbuerger [ctb],
Heng Li [ctb],
Bob Handsaker [ctb]

Genomic Breeding Tools: Genetic Variance Prediction and
Cross-Validation
Tyler Tiede [aut, cre],  Mohsen Mohammadi [ctb], Kevin P. Smith [ctb]
The main attribute of 'PopVar' is the prediction of genetic variance in bi-parental populations, from which the package derives its name. 'PopVar' contains a set of functions that use phenotypic and genotypic data from a set of candidate parents to 1) predict the mean, genetic variance, and superior progeny value of all, or a defined set of pairwise bi-parental crosses, and 2) perform cross-validation to estimate genome-wide prediction accuracy of multiple statistical models. More details are available in Mohammadi, Tiede, and Smith (2015). Crop Sci. doi:10.2135/cropsci2015.01.0030. A dataset 'think_barley.rda' is included for reference and examples.

c(person(given = "Tyler",
family = "Tiede",
role = c("aut"),
email = "tyler.tiede7@gmail.com"),
person(given = "Jeffrey",
family = "Neyhart",
role = c("aut", "ctb", "cre"),
email = "neyhartje@gmail.com",
comment = c(ORCID = "0000-0002-1991-5310")),
person(given = "Mohsen",
family = "Mohammadi",
role = c("ctb"),
comment = c(ORCID = "0000-0002-4536-1200")),
person(given = "Kevin",
family = "Smith",
role = c("ctb"),
comment = c(ORCID = "0000-0001-8253-3326")))
The main attribute of 'PopVar' is the prediction of genetic variance in bi-parental populations,
from which the package derives its name. 'PopVar' contains a set of functions that use phenotypic and genotypic
data from a set of candidate parents to 1) predict the mean, genetic variance, and superior progeny value of all,
or a defined set of pairwise bi-parental crosses, and 2) perform cross-validation to estimate genome-wide prediction
accuracy of multiple statistical models. More details are available in Mohammadi, Tiede, and Smith (2015, <doi:10.2135/cropsci2015.01.0030>).
A dataset 'think_barley.rda' is included for reference and examples.
BGLR, qtl, rrBLUP, stats, utils, methods, parallel
Tyler Tiede [aut],
Jeffrey Neyhart [aut, ctb, cre]
(<https://orcid.org/0000-0002-1991-5310>),
Mohsen Mohammadi [ctb] (<https://orcid.org/0000-0002-4536-1200>),
Kevin Smith [ctb] (<https://orcid.org/0000-0001-8253-3326>)