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PopVar  

Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation
View on CRAN: Click here


Download and install PopVar package within the R console
Install from CRAN:
install.packages("PopVar")

Install from Github:
library("remotes")
install_github("cran/PopVar")

Install by package version:
library("remotes")
install_version("PopVar", "1.3.2")



Attach the package and use:
library("PopVar")
Maintained by
Jeffrey Neyhart
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-01
Latest Update: 2024-10-20
Description:
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, ). A dataset 'think_barley.rda' is included for reference and examples.
How to cite:
Jeffrey Neyhart (2015). PopVar: Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation. R package version 1.3.2, https://cran.r-project.org/web/packages/PopVar. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0 (2015-04-01 07:50), 1.1 (2015-04-28 20:39), 1.2.1 (2015-07-08 14:46), 1.2 (2015-06-17 23:49), 1.3.0 (2021-02-07 21:10), 1.3.1 (2024-01-29 14:30)
Other packages that cited PopVar R package
View PopVar citation profile
Other R packages that PopVar depends, imports, suggests or enhances
Complete documentation for PopVar
Functions, R codes and Examples using the PopVar R package
Some associated functions: PopVar-package . internal . mppop.predict . pop.predict . pop.predict2 . think_barley.rda . x.val . 
Some associated R codes: PopVar-package.R . cross_validation.R . internal_functions.R . mppop_predict.R . pop_predict.R . think_barley_dataset.R .  Full PopVar package functions and examples
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