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.
Package details |
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Author | 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>) |
Maintainer | Jeffrey Neyhart <neyhartje@gmail.com> |
License | GPL-3 |
Version | 1.3.1 |
Package repository | View on CRAN |
Installation |
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